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[diffusion] doc: rewrite stale diffusion compatibility matrix (#36987)

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Mick
2026-09-02 23:42:54 +08:00
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docs/cookbook/diffusion/FLUX/FLUX.mdx
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@@ -40,7 +40,7 @@ FLUX models are optimized for high-quality image generation. The recommended lau
### 3.2 Configuration Tips ### 3.2 Configuration Tips
Currently supported optimizations are listed [here](/docs/sglang-diffusion/compatibility_matrix). See [Performance Optimization](/docs/sglang-diffusion/performance-optimization) for acceleration features and their runtime requirements.
- `--vae-path`: Path to a custom VAE model or HuggingFace model ID (e.g., fal/FLUX.2-Tiny-AutoEncoder). If not specified, the VAE will be loaded from the main model path. - `--vae-path`: Path to a custom VAE model or HuggingFace model ID (e.g., fal/FLUX.2-Tiny-AutoEncoder). If not specified, the VAE will be loaded from the main model path.
- `--num-gpus`: Number of GPUs to use - `--num-gpus`: Number of GPUs to use
@@ -193,6 +193,14 @@ sglang serve --model-path black-forest-labs/FLUX.1-dev
- `--vae-cpu-offload`: Use CPU offload for VAE. - `--vae-cpu-offload`: Use CPU offload for VAE.
- `--pin-cpu-memory`: Pin memory for CPU offload. Only added as a temp workaround if it throws "CUDA error: invalid argument". - `--pin-cpu-memory`: Pin memory for CPU offload. Only added as a temp workaround if it throws "CUDA error: invalid argument".
#### 4.2.3 Known LoRA examples
Use `--lora-path` at startup or the [LoRA management API](/docs/sglang-diffusion/api/openai_api#lora-management) to load an adapter. Known FLUX examples include:
- [`dvyio/flux-lora-simple-illustration`](https://huggingface.co/dvyio/flux-lora-simple-illustration)
- [`XLabs-AI/flux-furry-lora`](https://huggingface.co/XLabs-AI/flux-furry-lora)
- [`XLabs-AI/flux-RealismLora`](https://huggingface.co/XLabs-AI/flux-RealismLora)
## 5. Benchmark ## 5. Benchmark
### 5.1 Speedup Benchmark ### 5.1 Speedup Benchmark
docs/cookbook/diffusion/Krea/Krea-2.mdx
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@@ -44,7 +44,7 @@ The step count and guidance scale are **request-time** settings (see [API Usage]
### 3.2 Configuration Tips ### 3.2 Configuration Tips
Currently supported optimizations are listed [here](/docs/sglang-diffusion/compatibility_matrix). See [Performance Optimization](/docs/sglang-diffusion/performance-optimization) for acceleration features and their runtime requirements.
- `--num-gpus`: Number of GPUs to use. - `--num-gpus`: Number of GPUs to use.
- Multi-GPU (tensor and/or sequence parallelism): see [Section 3.3](#3-3-multi-gpu-tensor-and-sequence-parallelism). - Multi-GPU (tensor and/or sequence parallelism): see [Section 3.3](#3-3-multi-gpu-tensor-and-sequence-parallelism).
docs/cookbook/diffusion/MOVA/MOVA.mdx
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@@ -41,7 +41,7 @@ import { MOVADeployment } from '/src/snippets/diffusion/mova-deployment.jsx'
### 3.2 Configuration Tips ### 3.2 Configuration Tips
Currently supported optimizations are listed [here](/docs/sglang-diffusion/compatibility_matrix). See [Performance Optimization](/docs/sglang-diffusion/performance-optimization) for acceleration features and their runtime requirements.
- `--num-gpus`: Number of GPUs to use - `--num-gpus`: Number of GPUs to use
- `--tp`: Tensor parallelism size (should not be larger than 1 if text encoder offload is enabled, as layer-wise offload plus prefetch is faster) - `--tp`: Tensor parallelism size (should not be larger than 1 if text encoder offload is enabled, as layer-wise offload plus prefetch is faster)
docs/cookbook/diffusion/Qwen-Image/Qwen-Image-Edit.mdx
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@@ -35,7 +35,7 @@ Qwen-Image-Edit-2511 is a 20B parameter model optimized for image editing tasks.
### 3.2 Configuration Tips ### 3.2 Configuration Tips
Currently supported optimizations are listed [here](/docs/sglang-diffusion/compatibility_matrix). See [Performance Optimization](/docs/sglang-diffusion/performance-optimization) for acceleration features and their runtime requirements.
- `--vae-path`: Path to a custom VAE model or HuggingFace model ID (e.g., fal/FLUX.2-Tiny-AutoEncoder). If not specified, the VAE will be loaded from the main model path. - `--vae-path`: Path to a custom VAE model or HuggingFace model ID (e.g., fal/FLUX.2-Tiny-AutoEncoder). If not specified, the VAE will be loaded from the main model path.
- `--num-gpus`: Number of GPUs to use - `--num-gpus`: Number of GPUs to use
@@ -189,6 +189,13 @@ sglang serve --model-path Qwen/Qwen-Image-Edit-2511
- `--vae-cpu-offload`: Use CPU offload for VAE. - `--vae-cpu-offload`: Use CPU offload for VAE.
- `--pin-cpu-memory`: Pin memory for CPU offload. Only added as a temp workaround if it throws "CUDA error: invalid argument". - `--pin-cpu-memory`: Pin memory for CPU offload. Only added as a temp workaround if it throws "CUDA error: invalid argument".
#### 4.2.3 Known LoRA examples
Use `--lora-path` at startup or the [LoRA management API](/docs/sglang-diffusion/api/openai_api#lora-management) to load an adapter. Known Qwen-Image-Edit examples include:
- [`ostris/qwen_image_edit_inpainting`](https://huggingface.co/ostris/qwen_image_edit_inpainting)
- [`lightx2v/Qwen-Image-Edit-2511-Lightning`](https://huggingface.co/lightx2v/Qwen-Image-Edit-2511-Lightning)
## 5. Benchmark ## 5. Benchmark
Test Environment: Test Environment:
docs/cookbook/diffusion/Qwen-Image/Qwen-Image.mdx
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@@ -95,7 +95,7 @@ also tested on this profile and did not improve steady-state latency.
### 3.3 Configuration Tips ### 3.3 Configuration Tips
Currently supported optimizations are listed [here](/docs/sglang-diffusion/compatibility_matrix). See [Performance Optimization](/docs/sglang-diffusion/performance-optimization) for acceleration features and their runtime requirements.
- `--vae-path`: Path to a custom VAE model or HuggingFace model ID (e.g., fal/FLUX.2-Tiny-AutoEncoder). If not specified, the VAE will be loaded from the main model path. - `--vae-path`: Path to a custom VAE model or HuggingFace model ID (e.g., fal/FLUX.2-Tiny-AutoEncoder). If not specified, the VAE will be loaded from the main model path.
- `--num-gpus`: Number of GPUs to use - `--num-gpus`: Number of GPUs to use
@@ -249,6 +249,15 @@ sglang serve --model-path Qwen/Qwen-Image
- `--vae-cpu-offload`: Use CPU offload for VAE. - `--vae-cpu-offload`: Use CPU offload for VAE.
- `--pin-cpu-memory`: Pin memory for CPU offload. Only added as a temp workaround if it throws "CUDA error: invalid argument". - `--pin-cpu-memory`: Pin memory for CPU offload. Only added as a temp workaround if it throws "CUDA error: invalid argument".
#### 4.2.3 Known LoRA examples
Use `--lora-path` at startup or the [LoRA management API](/docs/sglang-diffusion/api/openai_api#lora-management) to load an adapter. Known Qwen-Image examples include:
- [`lightx2v/Qwen-Image-Lightning`](https://huggingface.co/lightx2v/Qwen-Image-Lightning)
- [`flymy-ai/qwen-image-realism-lora`](https://huggingface.co/flymy-ai/qwen-image-realism-lora)
- [`prithivMLmods/Qwen-Image-HeadshotX`](https://huggingface.co/prithivMLmods/Qwen-Image-HeadshotX)
- [`starsfriday/Qwen-Image-EVA-LoRA`](https://huggingface.co/starsfriday/Qwen-Image-EVA-LoRA)
## 5. Benchmark ## 5. Benchmark
Test Environment: Test Environment:
docs/cookbook/diffusion/README.mdx
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@@ -69,4 +69,4 @@ validation then catches MDX, navigation, and internal-link problems.
For runtime concepts and platform support, see the For runtime concepts and platform support, see the
[SGLang Diffusion documentation](/docs/sglang-diffusion/index) and [SGLang Diffusion documentation](/docs/sglang-diffusion/index) and
[compatibility matrix](/docs/sglang-diffusion/compatibility_matrix). [supported model catalog](/docs/sglang-diffusion/compatibility_matrix).
docs/cookbook/diffusion/Wan/Wan2.2.mdx
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@@ -15,6 +15,12 @@ import { Wan22Deployment } from '/src/snippets/diffusion/wan22-deployment.jsx';
Choose the A14B MoE checkpoints for maximum T2V or I2V capacity and the 5B TI2V model for a smaller unified 720p-at-24-fps path. MoE reduces active compute relative to total capacity but does not remove the memory cost of loading expert weights, so hardware selection still matters. Choose the A14B MoE checkpoints for maximum T2V or I2V capacity and the 5B TI2V model for a smaller unified 720p-at-24-fps path. MoE reduces active compute relative to total capacity but does not remove the memory cost of loading expert weights, so hardware selection still matters.
<Warning>
The Wan2.2 TI2V 5B checkpoint currently has known quality issues when it is used
for image-to-video generation. Use `Wan-AI/Wan2.2-I2V-A14B-Diffusers` when I2V
quality is the priority.
</Warning>
## 2. SGLang-diffusion Installation ## 2. SGLang-diffusion Installation
SGLang-diffusion offers multiple installation methods. You can choose the most suitable installation method based on your hardware platform and requirements. SGLang-diffusion offers multiple installation methods. You can choose the most suitable installation method based on your hardware platform and requirements.
@@ -35,7 +41,7 @@ The Wan2.2 series offers models in various sizes, architectures and input types,
### 3.2 Configuration Tips ### 3.2 Configuration Tips
Currently supported optimizations are listed [here](/docs/sglang-diffusion/compatibility_matrix). See [Performance Optimization](/docs/sglang-diffusion/performance-optimization) for acceleration features and their runtime requirements.
- `--vae-path`: Path to a custom VAE model or HuggingFace model ID (e.g., fal/FLUX.2-Tiny-AutoEncoder). If not specified, the VAE will be loaded from the main model path. - `--vae-path`: Path to a custom VAE model or HuggingFace model ID (e.g., fal/FLUX.2-Tiny-AutoEncoder). If not specified, the VAE will be loaded from the main model path.
- `--num-gpus {NUM_GPUS}`: Number of GPUs to use - `--num-gpus {NUM_GPUS}`: Number of GPUs to use
docs/cookbook/diffusion/Z-Image/Z-Image-Turbo.mdx
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@@ -35,7 +35,7 @@ Z-Image-Turbo is optimized for high-quality image generation with only 8 inferen
### 3.2 Configuration Tips ### 3.2 Configuration Tips
Currently supported optimizations are listed [here](/docs/sglang-diffusion/compatibility_matrix). See [Performance Optimization](/docs/sglang-diffusion/performance-optimization) for acceleration features and their runtime requirements.
- `--vae-path`: Path to a custom VAE model or HuggingFace model ID (e.g., fal/FLUX.2-Tiny-AutoEncoder). If not specified, the VAE will be loaded from the main model path. - `--vae-path`: Path to a custom VAE model or HuggingFace model ID (e.g., fal/FLUX.2-Tiny-AutoEncoder). If not specified, the VAE will be loaded from the main model path.
- `--num-gpus`: Number of GPUs to use - `--num-gpus`: Number of GPUs to use
@@ -189,6 +189,13 @@ sglang serve --model-path Tongyi-MAI/Z-Image-Turbo
- `--vae-cpu-offload`: Use CPU offload for VAE. - `--vae-cpu-offload`: Use CPU offload for VAE.
- `--pin-cpu-memory`: Pin memory for CPU offload. Only added as a temp workaround if it throws "CUDA error: invalid argument". - `--pin-cpu-memory`: Pin memory for CPU offload. Only added as a temp workaround if it throws "CUDA error: invalid argument".
#### 4.2.3 Known LoRA examples
Use `--lora-path` at startup or the [LoRA management API](/docs/sglang-diffusion/api/openai_api#lora-management) to load an adapter. Known Z-Image-Turbo examples include:
- [`tarn59/pixel_art_style_lora_z_image_turbo`](https://huggingface.co/tarn59/pixel_art_style_lora_z_image_turbo)
- [`wcde/Z-Image-Turbo-DeJPEG-Lora`](https://huggingface.co/wcde/Z-Image-Turbo-DeJPEG-Lora)
## 5. Benchmark ## 5. Benchmark
Test Environment: Test Environment:
docs/custom.css
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@@ -83,70 +83,97 @@ html.dark table tbody tr:nth-child(even) td,
background-color: rgba(255,255,255,0.05); background-color: rgba(255,255,255,0.05);
} }
.sgd-model-table-wrap { .sgd-model-catalog {
margin: 1rem 0 1.5rem; margin: 16px 0 24px;
overflow-x: auto; border-top: 1px solid rgb(226, 232, 240);
border: 1px solid rgba(17, 24, 39, 0.12);
border-radius: 8px;
background: rgba(255, 255, 255, 0.55);
scrollbar-width: thin;
} }
.sgd-model-table-wrap::-webkit-scrollbar { .sgd-model-entry {
width: 8px; display: grid;
height: 8px; grid-template-columns: minmax(138px, 0.34fr) minmax(0, 1fr);
column-gap: 28px;
min-width: 0;
padding: 17px 0;
border-bottom: 1px solid rgb(226, 232, 240);
} }
.sgd-model-table { .sgd-model-entry-meta {
min-width: 760px; min-width: 0;
table-layout: auto;
border-collapse: separate;
border-spacing: 0;
font-size: 0.875rem;
} }
.sgd-model-table thead tr { .sgd-model-entry-meta h3 {
border-bottom: none; margin: 0;
color: rgb(15, 23, 42);
font-size: 0.9rem;
font-weight: 650;
letter-spacing: 0;
line-height: 1.4;
} }
.sgd-model-table thead th { .sgd-model-entry-ids {
padding: 11px 14px; min-width: 0;
border-bottom: 1px solid rgba(213, 88, 22, 0.24);
background: rgba(213, 88, 22, 0.08) !important;
color: rgb(124, 45, 18);
} }
.sgd-model-table tbody td { .sgd-model-id {
padding: 12px 14px; min-width: 0;
vertical-align: top; padding: 2px 0;
border-bottom: 1px solid rgba(17, 24, 39, 0.08); }
background: transparent !important;
.sgd-model-entry .sgd-model-id code {
display: block;
min-width: 0;
padding: 0;
border: 0;
background: transparent;
box-shadow: none;
color: rgb(51, 65, 85);
font-size: 0.78rem;
font-weight: 500;
line-height: 1.5;
overflow-wrap: anywhere;
white-space: normal;
}
.sgd-model-entry-note {
margin: 7px 0 0;
color: rgb(100, 116, 139);
font-size: 0.76rem;
line-height: 1.45; line-height: 1.45;
} }
.sgd-model-table tbody tr:last-child td { .sgd-model-entry-link {
border-bottom: none; display: inline-flex;
gap: 4px;
align-items: center;
margin-top: 7px;
color: rgb(194, 65, 12);
font-size: 0.74rem;
font-weight: 600;
text-decoration: none;
} }
.sgd-model-table tbody td:first-child { .sgd-model-entry-link:hover {
width: 18%; text-decoration: underline;
font-weight: 650;
color: rgb(31, 41, 55);
} }
.sgd-id-list { @media (max-width: 620px) {
display: flex; .sgd-model-entry {
flex-wrap: wrap; grid-template-columns: minmax(0, 1fr);
gap: 6px; row-gap: 9px;
} padding: 15px 0;
}
.sgd-id-list code { .sgd-model-entry-meta {
display: inline-block; display: flex;
max-width: 100%; align-items: baseline;
white-space: normal; justify-content: space-between;
overflow-wrap: anywhere; gap: 16px;
font-size: 0.78rem; }
line-height: 1.4;
.sgd-model-entry-link {
flex: none;
margin-top: 0;
}
} }
.sgd-chip { .sgd-chip {
@@ -841,32 +868,32 @@ html.dark .sgd-command-builder, [data-theme="dark"] .sgd-command-builder {
} }
.sgd-muted { html.dark .sgd-model-catalog,
color: rgb(107, 114, 128); [data-theme="dark"] .sgd-model-catalog,
font-size: 0.85rem; html.dark .sgd-model-entry,
[data-theme="dark"] .sgd-model-entry {
border-color: rgba(148, 163, 184, 0.2);
} }
html.dark .sgd-model-table-wrap, html.dark .sgd-model-entry-meta h3,
[data-theme="dark"] .sgd-model-table-wrap { [data-theme="dark"] .sgd-model-entry-meta h3 {
border-color: rgba(255, 255, 255, 0.12); color: rgb(241, 245, 249);
background: rgba(255, 255, 255, 0.025);
} }
html.dark .sgd-model-table thead th, html.dark .sgd-model-entry .sgd-model-id code,
[data-theme="dark"] .sgd-model-table thead th { [data-theme="dark"] .sgd-model-entry .sgd-model-id code {
border-bottom-color: rgba(213, 88, 22, 0.32); background: transparent;
background: rgba(213, 88, 22, 0.16) !important; color: rgb(203, 213, 225);
color: rgb(254, 215, 170);
} }
html.dark .sgd-model-table tbody td, html.dark .sgd-model-entry-note,
[data-theme="dark"] .sgd-model-table tbody td { [data-theme="dark"] .sgd-model-entry-note {
border-bottom-color: rgba(255, 255, 255, 0.08); color: rgb(148, 163, 184);
} }
html.dark .sgd-model-table tbody td:first-child, html.dark .sgd-model-entry-link,
[data-theme="dark"] .sgd-model-table tbody td:first-child { [data-theme="dark"] .sgd-model-entry-link {
color: rgb(243, 244, 246); color: rgb(251, 146, 60);
} }
html.dark .sgd-chip, html.dark .sgd-chip,
@@ -883,11 +910,6 @@ html.dark .sgd-model-tags .sgd-chip,
color: rgb(199, 210, 254); color: rgb(199, 210, 254);
} }
html.dark .sgd-muted,
[data-theme="dark"] .sgd-muted {
color: rgb(156, 163, 175);
}
/* Bold text (**text**) */ /* Bold text (**text**) */
.prose strong, .prose b { .prose strong, .prose b {
font-weight: 600; font-weight: 600;
docs/docs/sglang-diffusion/compatibility_matrix.mdx
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@@ -1,944 +1,24 @@
--- ---
title: "Supported Models and Optimization Compatibility" title: "Supported Models"
description: "Check supported SGLang Diffusion models and their optimization compatibility." description: "Browse model families and public checkpoints supported by SGLang Diffusion."
--- ---
This page tracks supported SGLang Diffusion model families and their optimization compatibility. It also covers long-tail models that do not yet have dedicated cookbook recipes.
For model-specific usage recipes, start from the [Diffusion Cookbook](/cookbook/diffusion/intro). Cookbook pages cover the primary models with examples; this page keeps the compact support and compatibility inventory. import { DiffusionModelCatalog } from '/src/snippets/diffusion/model-catalog.jsx';
## Supported model inventory Use a listed checkpoint as `--model-path` with `sglang generate` or
`sglang serve`. This registry-backed list contains known public entry points;
Pass the `Hugging Face Model ID` to `--model-path` for `sglang generate` or `sglang serve`. Python API users can pass the same ID to SGLang Diffusion model-loading helpers. family detection may also support compatible local directories. Open the linked
Cookbook recipe for launch commands, optimizations, adapters, and model-specific
Missing checkpoint aliases do not imply that a model family is unsupported. The runtime registry may also accept detector-based aliases or local model directories that match the same family. notes.
Rows are grouped when a family shares the same runtime path or optimization support. Use the detailed matrix below when you need per-optimization compatibility.
<Tabs> <Tabs>
<Tab title="Image"> <Tab title="Image and 3D">
<div className="sgd-model-table-wrap"> <DiffusionModelCatalog category="image" />
<table className="sgd-model-table">
<thead>
<tr>
<th>Model family</th>
<th>Model IDs</th>
</tr>
</thead>
<tbody>
<tr>
<td>FLUX</td>
<td><div className="sgd-id-list"><code>black-forest-labs/FLUX.1-dev</code><code>black-forest-labs/FLUX.2-dev</code><code>black-forest-labs/FLUX.2-dev-NVFP4</code><code>black-forest-labs/FLUX.2-klein-4B</code><code>black-forest-labs/FLUX.2-klein-9B</code><code>black-forest-labs/FLUX.2-klein-base-4B</code><code>black-forest-labs/FLUX.2-klein-base-9B</code></div></td>
</tr>
<tr>
<td>Z-Image</td>
<td><div className="sgd-id-list"><code>Tongyi-MAI/Z-Image</code><code>Tongyi-MAI/Z-Image-Turbo</code></div></td>
</tr>
<tr>
<td>Qwen-Image</td>
<td><div className="sgd-id-list"><code>Qwen/Qwen-Image</code><code>Qwen/Qwen-Image-2512</code><code>Qwen/Qwen-Image-Edit</code><code>Qwen/Qwen-Image-Edit-2509</code><code>Qwen/Qwen-Image-Edit-2511</code><code>Qwen/Qwen-Image-Layered</code></div></td>
</tr>
<tr>
<td>LongCat-Image</td>
<td><div className="sgd-id-list"><code>meituan-longcat/LongCat-Image</code><code>meituan-longcat/LongCat-Image-Edit</code><code>meituan-longcat/LongCat-Image-Edit-Turbo</code></div></td>
</tr>
<tr>
<td>SD3 / SD3.5</td>
<td><div className="sgd-id-list"><code>stabilityai/stable-diffusion-3-medium</code><code>stabilityai/stable-diffusion-3-medium-diffusers</code><code>stabilityai/stable-diffusion-3.5-medium</code><code>stabilityai/stable-diffusion-3.5-medium-diffusers</code><code>stabilityai/stable-diffusion-3.5-large</code><code>stabilityai/stable-diffusion-3.5-large-diffusers</code></div></td>
</tr>
<tr>
<td>SANA</td>
<td><div className="sgd-id-list"><code>Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers</code><code>Efficient-Large-Model/SANA1.5_4.8B_1024px_diffusers</code><code>Efficient-Large-Model/Sana_1600M_1024px_diffusers</code><code>Efficient-Large-Model/Sana_600M_1024px_diffusers</code><code>Efficient-Large-Model/Sana_1600M_512px_diffusers</code><code>Efficient-Large-Model/Sana_600M_512px_diffusers</code></div></td>
</tr>
<tr>
<td>FireRed-Image</td>
<td><div className="sgd-id-list"><code>FireRedTeam/FireRed-Image-Edit-1.0</code><code>FireRedTeam/FireRed-Image-Edit-1.1</code></div></td>
</tr>
<tr>
<td>JoyAI-Image</td>
<td><div className="sgd-id-list"><code>jdopensource/JoyAI-Image-Edit-Diffusers</code></div></td>
</tr>
<tr>
<td>Other image pipelines</td>
<td><div className="sgd-id-list"><code>zai-org/GLM-Image</code><code>tencent/Hunyuan3D-2</code><code>baidu/ERNIE-Image</code><code>baidu/ERNIE-Image-Turbo</code><code>ideogram-ai/ideogram-4-fp8</code><code>ideogram-ai/ideogram-4-nf4</code><code>Comfy-Org/Ideogram-4</code><code>fal/ideogram-v4-fast</code><code>fal/ideogram-v4-instant</code></div></td>
</tr>
</tbody>
</table>
</div>
</Tab> </Tab>
<Tab title="Video"> <Tab title="Video and audio">
<div className="sgd-model-table-wrap"> <DiffusionModelCatalog category="video" />
<table className="sgd-model-table">
<thead>
<tr>
<th>Model family</th>
<th>Model IDs</th>
<th>Resolution / mode</th>
<th>Optimization support</th>
</tr>
</thead>
<tbody>
<tr>
<td>FastWan</td>
<td><div className="sgd-id-list"><code>FastVideo/FastWan2.1-T2V-1.3B-Diffusers</code><code>FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers</code><code>FastVideo/FastWan2.2-TI2V-5B-Diffusers</code></div></td>
<td>480p / 720p</td>
<td><span className="sgd-chip">VSA</span></td>
</tr>
<tr>
<td>SANA-Video</td>
<td><div className="sgd-id-list"><code>Efficient-Large-Model/SANA-Video_2B_480p_diffusers</code></div></td>
<td>T2V, 480p</td>
<td><span className="sgd-muted">No dedicated optimization listed</span></td>
</tr>
<tr>
<td>LingBot Video MoE</td>
<td><div className="sgd-id-list"><code>robbyant/lingbot-video-moe-30b-a3b</code></div></td>
<td>T2V, 480p</td>
<td><span className="sgd-muted">No dedicated optimization listed</span></td>
</tr>
<tr>
<td>Wan2.2</td>
<td><div className="sgd-id-list"><code>Wan-AI/Wan2.2-TI2V-5B-Diffusers</code><code>Wan-AI/Wan2.2-T2V-A14B-Diffusers</code><code>nvidia/Wan2.2-T2V-A14B-Diffusers-NVFP4</code><code>Wan-AI/Wan2.2-I2V-A14B-Diffusers</code></div></td>
<td>TI2V / T2V / I2V, 480p / 720p</td>
<td><span className="sgd-chip">Sage</span><span className="sgd-chip">Laser</span><span className="sgd-chip">BSA</span><span className="sgd-chip">Rain Fusion</span></td>
</tr>
<tr>
<td>LongLive 2.0</td>
<td><div className="sgd-id-list"><code>Rabinovich/LongLive-2.0-5B-Diffusers</code></div></td>
<td>T2V / I2V, 480p / 720p</td>
<td><span className="sgd-muted">No dedicated optimization listed</span></td>
</tr>
<tr>
<td>HunyuanVideo</td>
<td><div className="sgd-id-list"><code>hunyuanvideo-community/HunyuanVideo</code><code>FastVideo/FastHunyuan-diffusers</code></div></td>
<td>720×1280 / 544×960</td>
<td><span className="sgd-chip">Tile</span><span className="sgd-chip">Sage</span><span className="sgd-chip">SVG2</span></td>
</tr>
<tr>
<td>Wan2.1</td>
<td><div className="sgd-id-list"><code>Wan-AI/Wan2.1-T2V-1.3B-Diffusers</code><code>Wan-AI/Wan2.1-T2V-14B-Diffusers</code><code>Wan-AI/Wan2.1-I2V-14B-480P-Diffusers</code><code>Wan-AI/Wan2.1-I2V-14B-720P-Diffusers</code></div></td>
<td>T2V / I2V, 480p / 720p</td>
<td><span className="sgd-chip">TeaCache</span><span className="sgd-chip">Tile</span><span className="sgd-chip">Sage</span><span className="sgd-chip">SVG2</span><span className="sgd-chip">Laser</span><span className="sgd-chip">BSA</span><span className="sgd-chip">Rain Fusion</span></td>
</tr>
<tr>
<td>TurboWan</td>
<td><div className="sgd-id-list"><code>IPostYellow/TurboWan2.1-T2V-1.3B-Diffusers</code><code>IPostYellow/TurboWan2.1-T2V-14B-Diffusers</code><code>IPostYellow/TurboWan2.1-T2V-14B-720P-Diffusers</code><code>IPostYellow/TurboWan2.2-I2V-A14B-Diffusers</code></div></td>
<td>480p / 720p</td>
<td><span className="sgd-chip">TeaCache</span><span className="sgd-chip">SLA</span><span className="sgd-chip">SageSLA</span></td>
</tr>
<tr>
<td>MOVA</td>
<td><div className="sgd-id-list"><code>OpenMOSS-Team/MOVA-360p</code><code>OpenMOSS-Team/MOVA-720p</code></div></td>
<td>Video-audio, 360p / 720p; local MOVA detector aliases are also supported.</td>
<td><span className="sgd-muted">No dedicated optimization listed</span></td>
</tr>
<tr>
<td>MiniMax-H3</td>
<td><div className="sgd-id-list"><code>MiniMaxAI/MiniMax-H3</code><a href="/cookbook/diffusion/MiniMax/MiniMax-H3#checkpoint-and-adapter-formats">Checkpoint formats</a></div></td>
<td>T2VA / FL2VA / Ref2VA, 768p at 24 fps with synchronized audio</td>
<td><span className="sgd-chip">Cache-DiT</span><span className="sgd-chip">Sage</span><span className="sgd-chip">Online FP8</span><span className="sgd-chip">GGUF</span></td>
</tr>
<tr>
<td>FastH3</td>
<td><div className="sgd-id-list"><code>FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree</code></div></td>
<td>T2VA only, 4-step distilled, 768p at 24 fps with synchronized audio</td>
<td><span className="sgd-chip">VSA-H3</span></td>
</tr>
<tr>
<td>Wan2.1 Fun</td>
<td><div className="sgd-id-list"><code>weizhou03/Wan2.1-Fun-1.3B-InP-Diffusers</code></div></td>
<td>480p inpainting</td>
<td><span className="sgd-chip">TeaCache</span><span className="sgd-chip">Tile</span><span className="sgd-chip">Sage</span><span className="sgd-chip">SVG2</span></td>
</tr>
<tr>
<td>Helios</td>
<td><div className="sgd-id-list"><code>BestWishYsh/Helios-Base</code><code>BestWishYsh/Helios-Mid</code><code>BestWishYsh/Helios-Distilled</code></div></td>
<td>720p</td>
<td><span className="sgd-muted">No dedicated optimization listed</span></td>
</tr>
<tr>
<td>LTX-2</td>
<td><div className="sgd-id-list"><code>Lightricks/LTX-2</code><code>Lightricks/LTX-2.3</code></div></td>
<td>One-stage, two-stage, TI2V, HQ</td>
<td><span className="sgd-muted">No dedicated optimization listed</span></td>
</tr>
<tr>
<td>LTX-2.5</td>
<td><div className="sgd-id-list"><code>Lightricks/LTX-2.5-Diffusers</code></div></td>
<td>One-stage, two-stage, TI2V, auto-duration, diffusion decode</td>
<td><span className="sgd-muted">No dedicated optimization listed</span></td>
</tr>
<tr>
<td>Cosmos3</td>
<td><div className="sgd-id-list"><code>nvidia/Cosmos3-Nano</code><code>nvidia/Cosmos3-Super</code><code>nvidia/Cosmos3-Super-Text2Image</code><code>nvidia/Cosmos3-Super-Image2Video</code></div></td>
<td>T2V / I2V / T2I</td>
<td><span className="sgd-muted">No dedicated optimization listed</span></td>
</tr>
</tbody>
</table>
</div>
</Tab> </Tab>
<Tab title="Realtime / World"> <Tab title="World and action">
<div className="sgd-model-table-wrap"> <DiffusionModelCatalog category="world" />
<table className="sgd-model-table">
<thead>
<tr>
<th>Model family</th>
<th>Model IDs / detector</th>
<th>Notes</th>
</tr>
</thead>
<tbody>
<tr>
<td>LingBotWorld</td>
<td><div className="sgd-id-list"><code>robbyant/lingbot-world-fast-diffusers</code></div></td>
<td>Realtime world model with causal state and control tokens.</td>
</tr>
<tr>
<td>SANA-WM</td>
<td><div className="sgd-id-list"><code>Efficient-Large-Model/SANA-WM_bidirectional</code><code>Efficient-Large-Model/SANA-WM_streaming</code></div></td>
<td>World-model pipeline with bidirectional and streaming checkpoints.</td>
</tr>
</tbody>
</table>
</div>
</Tab> </Tab>
</Tabs> </Tabs>
<Note>
Wan2.2 TI2V 5B currently has known quality issues when used for I2V generation.
</Note>
## Optimization compatibility
The detailed video matrix uses these symbols:
- ✅ = Full compatibility
- ❌ = No compatibility
- ⭕ = Does not apply to this model
<Accordion title="Detailed video optimization matrix">
### Video Generation Models
Optimization columns are abbreviated to keep the matrix readable:
- `Tea` = TeaCache
- `Tile` = Sliding Tile Attention
- `Sage` = Sage Attention
- `VSA` = Video Sparse Attention
- `SLA` = Sparse Linear Attention
- `SageSLA` = Sage Sparse Linear Attention
- `SVG2` = Sparse Video Gen 2
- `LA` = Laser Attention
- `BSA` = Block Sparse Attention
- `RF` = Rain Fusion Attention
<table style={{width: "100%", borderCollapse: "collapse", tableLayout: "fixed"}}>
<colgroup>
<col style={{width: "22%"}} />
<col style={{width: "35%"}} />
<col style={{width: "8%"}} />
<col style={{width: "5%"}} />
<col style={{width: "5%"}} />
<col style={{width: "5%"}} />
<col style={{width: "5%"}} />
<col style={{width: "5%"}} />
<col style={{width: "5%"}} />
<col style={{width: "5%"}} />
<col style={{width: "5%"}} />
<col style={{width: "5%"}} />
<col style={{width: "5%"}} />
</colgroup>
<thead>
<tr style={{borderBottom: "2px solid #d55816"}}>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Model Name</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Hugging Face Model ID</th>
<th style={{textAlign: "left", padding: "10px 8px", fontWeight: 700, whiteSpace: "normal", backgroundColor: "rgba(255,255,255,0.02)"}}>Resolution</th>
<th style={{textAlign: "center", padding: "10px 6px", fontWeight: 700, whiteSpace: "normal", backgroundColor: "rgba(255,255,255,0.05)"}}><abbr title="TeaCache">Tea</abbr></th>
<th style={{textAlign: "center", padding: "10px 6px", fontWeight: 700, whiteSpace: "normal", backgroundColor: "rgba(255,255,255,0.02)"}}><abbr title="Sliding Tile Attention">Tile</abbr></th>
<th style={{textAlign: "center", padding: "10px 6px", fontWeight: 700, whiteSpace: "normal", backgroundColor: "rgba(255,255,255,0.05)"}}><abbr title="Sage Attention">Sage</abbr></th>
<th style={{textAlign: "center", padding: "10px 6px", fontWeight: 700, whiteSpace: "normal", backgroundColor: "rgba(255,255,255,0.02)"}}><abbr title="Video Sparse Attention">VSA</abbr></th>
<th style={{textAlign: "center", padding: "10px 6px", fontWeight: 700, whiteSpace: "normal", backgroundColor: "rgba(255,255,255,0.05)"}}><abbr title="Sparse Linear Attention">SLA</abbr></th>
<th style={{textAlign: "center", padding: "10px 6px", fontWeight: 700, whiteSpace: "normal", backgroundColor: "rgba(255,255,255,0.02)"}}><abbr title="Sage Sparse Linear Attention">SageSLA</abbr></th>
<th style={{textAlign: "center", padding: "10px 6px", fontWeight: 700, whiteSpace: "normal", backgroundColor: "rgba(255,255,255,0.05)"}}><abbr title="Sparse Video Gen 2">SVG2</abbr></th>
<th style={{textAlign: "center", padding: "10px 6px", fontWeight: 700, whiteSpace: "normal", backgroundColor: "rgba(255,255,255,0.02)"}}><abbr title="Laser Attention">LA</abbr></th>
<th style={{textAlign: "center", padding: "10px 6px", fontWeight: 700, whiteSpace: "normal", backgroundColor: "rgba(255,255,255,0.02)"}}><abbr title="Block Sparse Attention">BSA</abbr></th>
<th style={{textAlign: "center", padding: "10px 6px", fontWeight: 700, whiteSpace: "normal", backgroundColor: "rgba(255,255,255,0.02)"}}><abbr title="Rain Fusion Attention">RF</abbr></th>
</tr>
</thead>
<tbody>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>FastWan2.1 T2V 1.3B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`FastVideo/FastWan2.1-T2V-1.3B-Diffusers`</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>480p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>SANA-Video 2B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>Efficient-Large-Model/SANA-Video_2B_480p_diffusers</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>480p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>LingBot Video MoE 30B-A3B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>robbyant/lingbot-video-moe-30b-a3b</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>480p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>FastWan2.2 TI2V 5B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers</code><br /><code>FastVideo/FastWan2.2-TI2V-5B-Diffusers</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>720p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Wan2.2 TI2V 5B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`Wan-AI/Wan2.2-TI2V-5B-Diffusers`</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>720p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>LongLive 2.0 5B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>Rabinovich/LongLive-2.0-5B-Diffusers</code></td>
<td style={{padding: "9px 8px", backgroundColor: "rgba(255,255,255,0.02)"}}>480p<br />720p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Wan2.2 T2V A14B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>Wan-AI/Wan2.2-T2V-A14B-Diffusers</code><br /><code>nvidia/Wan2.2-T2V-A14B-Diffusers-NVFP4</code></td>
<td style={{padding: "9px 8px", backgroundColor: "rgba(255,255,255,0.02)"}}>480p<br />720p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Wan2.2 I2V A14B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`Wan-AI/Wan2.2-I2V-A14B-Diffusers`</td>
<td style={{padding: "9px 8px", backgroundColor: "rgba(255,255,255,0.02)"}}>480p<br />720p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>HunyuanVideo</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`hunyuanvideo-community/HunyuanVideo`</td>
<td style={{padding: "9px 8px", backgroundColor: "rgba(255,255,255,0.02)"}}>720×1280<br />544×960</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>FastHunyuan</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`FastVideo/FastHunyuan-diffusers`</td>
<td style={{padding: "9px 8px", backgroundColor: "rgba(255,255,255,0.02)"}}>720×1280<br />544×960</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Wan2.1 T2V 1.3B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`Wan-AI/Wan2.1-T2V-1.3B-Diffusers`</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>480p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Wan2.1 T2V 14B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`Wan-AI/Wan2.1-T2V-14B-Diffusers`</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>480p, 720p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Wan2.1 I2V 480P</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`Wan-AI/Wan2.1-I2V-14B-480P-Diffusers`</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>480p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Wan2.1 I2V 720P</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`Wan-AI/Wan2.1-I2V-14B-720P-Diffusers`</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>720p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>TurboWan2.1 T2V 1.3B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`IPostYellow/TurboWan2.1-T2V-1.3B-Diffusers`</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>480p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>TurboWan2.1 T2V 14B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`IPostYellow/TurboWan2.1-T2V-14B-Diffusers`</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>480p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>TurboWan2.1 T2V 14B 720P</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`IPostYellow/TurboWan2.1-T2V-14B-720P-Diffusers`</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>720p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>TurboWan2.2 I2V A14B</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`IPostYellow/TurboWan2.2-I2V-A14B-Diffusers`</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>720p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Wan2.1 Fun 1.3B InP</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>weizhou03/Wan2.1-Fun-1.3B-InP-Diffusers</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>480p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>⭕</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Helios Base</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>BestWishYsh/Helios-Base</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>720p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Helios Mid</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>BestWishYsh/Helios-Mid</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>720p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Helios Distilled</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>BestWishYsh/Helios-Distilled</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>720p</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>LTX-2 (one/two-stage/TI2V)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>Lightricks/LTX-2</code></td>
<td style={{padding: "9px 8px", backgroundColor: "rgba(255,255,255,0.02)"}}>768×512<br />1536×1024</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>MiniMax-H3 (T2VA / FL2VA / Ref2VA image, audio, video/V2V)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>MiniMaxAI/MiniMax-H3</code></td>
<td style={{padding: "9px 8px", backgroundColor: "rgba(255,255,255,0.02)"}}>768p · 24 fps</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>FastH3 4-step (T2VA only)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree</code></td>
<td style={{padding: "9px 8px", backgroundColor: "rgba(255,255,255,0.02)"}}>768p · 24 fps</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>✅</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>LTX-2.3 (one/two-stage/TI2V/HQ)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>Lightricks/LTX-2.3</code></td>
<td style={{padding: "9px 8px", backgroundColor: "rgba(255,255,255,0.02)"}}>768×512<br />1536×1024<br />1920×1088 (HQ default)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>LTX-2.5 (one/two-stage/TI2V)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>Lightricks/LTX-2.5-Diffusers</code></td>
<td style={{padding: "9px 8px", backgroundColor: "rgba(255,255,255,0.02)"}}>960×544 (default)<br />1920×1088 (two-stage)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Cosmos3-Nano (T2V / I2V / T2I)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>nvidia/Cosmos3-Nano</code></td>
<td style={{padding: "9px 8px", backgroundColor: "rgba(255,255,255,0.02)"}}>720p · 480p<br />1024×1024 (T2I)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Cosmos3-Super (T2V / I2V / T2I)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>nvidia/Cosmos3-Super</code><br /><code>nvidia/Cosmos3-Super-Text2Image</code><br /><code>nvidia/Cosmos3-Super-Image2Video</code></td>
<td style={{padding: "9px 8px", backgroundColor: "rgba(255,255,255,0.02)"}}>720p · 480p<br />1024×1024 (T2I)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>❌</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>❌</td>
</tr>
</tbody>
</table>
**Note**:
1. Wan2.2 TI2V 5B has some quality issues when performing I2V generation. We are working on fixing this issue.
2. SageSLA is based on SpargeAttn. Install it first with `pip install git+https://github.com/thu-ml/SpargeAttn.git --no-build-isolation`
3. LTX pipeline selection:
- One-stage: `--pipeline-class-name LTX2Pipeline`
- Two-stage: `--pipeline-class-name LTX2TwoStagePipeline`
- Two-stage HQ: `--pipeline-class-name LTX2TwoStageHQPipeline` (HQ defaults to 1920×1088; you can still override `--width/--height`)
- LTX-2 and LTX-2.3 support both T2V and TI2V (`--image-path`) on one-stage and two-stage pipelines (including HQ).
- The spatial upsampler and distilled LoRA are auto-resolved from the model snapshot by default, and can still be overridden with `--spatial-upsampler-path` and `--distilled-lora-path`.
- For LTX models, the `Resolutions` column uses output video `width×height` semantics, matching `sglang generate --width ... --height ...`.
4. LTX-2 / LTX-2.3 two-stage also supports `--ltx2-two-stage-device-mode {original,resident}`:
- `original` keeps official two-stage semantics without the premerged stage-2 transformer path.
- `resident` usually provides the best latency/throughput but uses much more VRAM.
- Default is auto: `resident` on H200/high-memory CUDA GPUs, otherwise `original`.
5. Cosmos3 ships in two sizes — `nvidia/Cosmos3-Nano` (16B) and
`nvidia/Cosmos3-Super` (64B). Both share the same pipeline; the only
difference is transformer depth and width, picked up from
`transformer/config.json` at load time. A single checkpoint serves T2V,
I2V (`--image-path`), and T2I (`--num-frames 1`).
6. FastH3's VSA column refers to the dedicated `video_sparse_attn_h3` (VSA-H3)
backend. Dense backends that run on base MiniMax-H3 also run on the FastH3
weights.
FastH3 serves `t2va` only and rejects `--model-variant` and
`quality: "high"`.
</Accordion>
## Supported Components
SGLang Diffusion supports overriding individual pipeline components with
`--<component>-path`. The value can be either a Hugging Face repo ID or a local
component directory.
The same overrides can also be provided in config files through
`component_paths.<component>`.
Component path overrides are generic, but quantized checkpoint support is
loader-specific. Native SGLang loaders that only materialize plain state dicts
reject detected quantization metadata before weight loading instead of silently
casting the checkpoint into an unquantized module. Library-managed components
inherit the corresponding Transformers or Diffusers support. See
[Quantized Component Repositories](./quantization#quantized-component-repositories).
### Common Syntax
CLI:
```bash Command
sglang generate \
--model-path black-forest-labs/FLUX.2-dev \
--vae-path black-forest-labs/FLUX.2-small-decoder \
--transformer-path /models/flux2/transformer
```
Config file:
```yaml Config
model_path: black-forest-labs/FLUX.2-dev
component_paths:
vae: black-forest-labs/FLUX.2-small-decoder
transformer: /models/flux2/transformer
```
Use the component name from the pipeline's `model_index.json` or the native pipeline's registered module name:
<table style={{width: "100%", borderCollapse: "collapse", tableLayout: "fixed"}}>
<colgroup>
<col style={{width: "20%"}} />
<col style={{width: "42%"}} />
<col style={{width: "38%"}} />
</colgroup>
<thead>
<tr style={{borderBottom: "2px solid #d55816"}}>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Component Type</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Supported Keys</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Notes</th>
</tr>
</thead>
<tbody>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>VAE</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>vae</code>, <code>video_vae</code>, <code>audio_vae</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>vae</code> is the common image-generation override</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Transformer / DiT</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>transformer</code>, <code>video_dit</code>, <code>audio_dit</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>transformer</code> is the standard override for the main denoiser</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Text / Preprocess</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>text_encoder</code>, <code>text_encoder_2</code>, <code>tokenizer</code>, <code>processor</code>, <code>image_processor</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>Replacement encoders often need matching preprocessing assets</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Auxiliary</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>scheduler</code>, <code>spatial_upsampler</code>, <code>vocoder</code>, <code>connectors</code>, <code>dual_tower_bridge</code>, <code>image_encoder</code>, <code>vision_language_encoder</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>Only valid for pipelines that expose these components</td>
</tr>
</tbody>
</table>
### Known Component Repos
The table below lists concrete Hugging Face component repos that are already used in SGLang Diffusion docs or tests. It is not an exhaustive catalog of all compatible component repos.
<table style={{width: "100%", borderCollapse: "collapse", tableLayout: "fixed"}}>
<colgroup>
<col style={{width: "24%"}} />
<col style={{width: "20%"}} />
<col style={{width: "28%"}} />
<col style={{width: "28%"}} />
</colgroup>
<thead>
<tr style={{borderBottom: "2px solid #d55816"}}>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Base Model</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Override Key</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Example Repo</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Notes</th>
</tr>
</thead>
<tbody>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}><code>black-forest-labs/FLUX.2-dev</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>vae</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}><code>black-forest-labs/FLUX.2-small-decoder</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>Decoder-only FLUX.2 VAE override</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}><code>black-forest-labs/FLUX.2-dev</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>vae</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}><code>fal/FLUX.2-Tiny-AutoEncoder</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>Existing tested custom VAE path</td>
</tr>
</tbody>
</table>
### VAE
- `--vae-path` is the common image-generation override.
- `--video-vae-path` and `--audio-vae-path` are only relevant for pipelines with separate video or audio VAEs.
### Transformer / DiT
- `--transformer-path` is the standard override for the main denoising transformer.
- For a pre-quantized main transformer, prefer `--transformer-path` or `--transformer-weights-path`; see [Quantization](./quantization).
- `--video-dit-path` and `--audio-dit-path` are only for pipelines that split denoisers by modality.
### Text Encoders and Preprocessors
- `--text-encoder-path` and `--text-encoder-2-path` override primary and secondary text encoders.
- `--tokenizer-path`, `--processor-path`, and `--image-processor-path` are useful when the replacement encoder requires matching preprocessing assets.
### Auxiliary Components
- `--scheduler-path` is only relevant when the pipeline exposes a scheduler component.
- `--spatial-upsampler-path` is mainly for two-stage pipelines such as `LTX2TwoStagePipeline`.
- `--vocoder-path`, `--connectors-path`, `--dual-tower-bridge-path`, `--image-encoder-path`, and `--vision-language-encoder-path` are only valid for pipelines that expose those components.
### Notes
1. Component overrides are only valid when the target pipeline actually uses
that component.
2. The override key should match the component name in the pipeline's
`model_index.json` or the native pipeline's registered module name.
3. An override path does not enable quantization by itself. A pre-quantized
component must include metadata for a format supported by its selected
loader. `--quantization` overrides the transformer loader; other component
checkpoints select their serialized format through their own metadata.
## Verified LoRA Examples
This section lists example LoRAs that have been explicitly tested and verified with each base model in the **SGLang Diffusion** pipeline.
<Info>
LoRAs that are not listed here are not necessarily incompatible.
In practice, most standard LoRAs are expected to work, especially those following common Diffusers or SD-style conventions.
The entries below simply reflect configurations that have been manually validated by the SGLang team.
</Info>
### Verified LoRAs by Base Model
<table style={{width: "100%", borderCollapse: "collapse", tableLayout: "fixed"}}>
<colgroup>
<col style={{width: "20%"}} />
<col style={{width: "80%"}} />
</colgroup>
<thead>
<tr style={{borderBottom: "2px solid #d55816"}}>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Base Model</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Supported LoRAs</th>
</tr>
</thead>
<tbody>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>MiniMax-H3</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`larryvrh/MiniMax-H3-Turbo-Lora`<br />`lightx2v/Minimax-h3-Turbo`<br />`fal/MiniMax-H3-Realism-People-LoRA`</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Wan2.2</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`lightx2v/Wan2.2-Distill-Loras`<br />`Cseti/wan2.2-14B-Arcane_Jinx-lora-v1`</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Wan2.1</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`lightx2v/Wan2.1-Distill-Loras`</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Z-Image-Turbo</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`tarn59/pixel_art_style_lora_z_image_turbo`<br />`wcde/Z-Image-Turbo-DeJPEG-Lora`</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Qwen-Image</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`lightx2v/Qwen-Image-Lightning`<br />`flymy-ai/qwen-image-realism-lora`<br />`prithivMLmods/Qwen-Image-HeadshotX`<br />`starsfriday/Qwen-Image-EVA-LoRA`</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Qwen-Image-Edit</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`ostris/qwen_image_edit_inpainting`<br />`lightx2v/Qwen-Image-Edit-2511-Lightning`</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>Flux</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`dvyio/flux-lora-simple-illustration`<br />`XLabs-AI/flux-furry-lora`<br />`XLabs-AI/flux-RealismLora`</td>
</tr>
</tbody>
</table>
## Special requirements
### Sliding Tile Attention
- Currently, only Hopper GPUs (H100s) are supported.
### Cube Sparse Attention
- Available only for MiniMax-H3 (`--component-attention-backends transformer=cube_sparse_attn`). It sparsifies only the packed sequence's 3D visual streams; text, audio, standalone reference images, and the text-only token refiner remain dense.
- Requires `--attention-backend-config` with both `local_cube_size` and `topk_ratio_list`. `topk_ratio_list` must have one entry per denoise step, each in `(0, 1]`. See the [MiniMax-H3 cookbook](/cookbook/diffusion/MiniMax/MiniMax-H3) for a worked example.
- Runs on pure PyTorch plus FlexAttention, so it has no third-party kernel dependency.
docs/docs/sglang-diffusion/dynamic_batching.mdx
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@@ -45,7 +45,7 @@ Use `--batching-config /path/to/batching_config.json` to load JSON rules when a
## Compatibility ## Compatibility
An initial implementation of dynamic batching for T2I and T2V models can be found in [#18764](https://github.com/sgl-project/sglang/pull/18764). The current compatibility grid is below and will be updated as more coverage is added. See [Supported Models and Optimization Compatibility](./compatibility_matrix) for common model IDs and optimization support. An initial implementation of dynamic batching for T2I and T2V models can be found in [#18764](https://github.com/sgl-project/sglang/pull/18764). The current compatibility grid is below and will be updated as more coverage is added. See [Supported Models](./compatibility_matrix) for common model IDs.
`✅` means supported, `❌` means not currently supported, `?` means untested, and `-` means not applicable. `✅` means supported, `❌` means not currently supported, `?` means untested, and `-` means not applicable.
docs/docs/sglang-diffusion/index.mdx
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@@ -30,7 +30,7 @@ sglang serve --model-path Qwen/Qwen-Image --port 30010
## Start Here ## Start Here
- [Installation](/docs/sglang-diffusion/installation): install SGLang Diffusion and platform dependencies - [Installation](/docs/sglang-diffusion/installation): install SGLang Diffusion and platform dependencies
- [Supported Models and Optimization Compatibility](/docs/sglang-diffusion/compatibility_matrix): check supported model families, long-tail coverage, and optimization support - [Supported Models](/docs/sglang-diffusion/compatibility_matrix): browse supported model families, tasks, and public checkpoints
- [CLI](/docs/sglang-diffusion/api/cli): run one-off generation jobs or launch a persistent server - [CLI](/docs/sglang-diffusion/api/cli): run one-off generation jobs or launch a persistent server
- [OpenAI-Compatible API](/docs/sglang-diffusion/api/openai_api): send image and video requests to the HTTP server - [OpenAI-Compatible API](/docs/sglang-diffusion/api/openai_api): send image and video requests to the HTTP server
- [Performance Overview](/docs/sglang-diffusion/performance-optimization): choose speed, memory, parallelism, caching, and quality-tradeoff levers - [Performance Overview](/docs/sglang-diffusion/performance-optimization): choose speed, memory, parallelism, caching, and quality-tradeoff levers
docs/docs/sglang-diffusion/realtime_models.mdx
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@@ -41,7 +41,7 @@ details:
- [SANA-WM](/cookbook/diffusion/SANA-WM/SANA-WM) - [SANA-WM](/cookbook/diffusion/SANA-WM/SANA-WM)
For the complete model list, see For the complete model list, see
[Supported Models and Optimization Compatibility](./compatibility_matrix). [Supported Models](./compatibility_matrix).
## Causal Cache Controls ## Causal Cache Controls
docs/docs/sglang-diffusion/ring_sp_performance.mdx
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@@ -303,8 +303,9 @@ See [Encoder Parallelism](/docs/sglang-diffusion/encoder_parallel).
<Warning> <Warning>
Cross-node ring support is model-specific, not a property of the launch Cross-node ring support is model-specific, not a property of the launch
flags alone — see [Supported Models and Optimization Compatibility](/docs/sglang-diffusion/compatibility_matrix) flags alone. Confirm support in the model cookbook and see
for which models have it. Passing `--ring-degree > 1` for a model that only [Parallelism](/docs/sglang-diffusion/parallelism) for topology requirements.
Passing `--ring-degree > 1` for a model that only
has single-node Ulysses may either raise or, in some cases, silently has single-node Ulysses may either raise or, in some cases, silently
compute incorrect output; check the model's cookbook page before assuming compute incorrect output; check the model's cookbook page before assuming
cross-node scaling is supported. cross-node scaling is supported.
docs/docs/sglang-diffusion/support_new_models.mdx
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@@ -456,8 +456,9 @@ implementation.
baseline. baseline.
5. If the model supports LoRA, CFG parallelism, or disaggregation, test each 5. If the model supports LoRA, CFG parallelism, or disaggregation, test each
feature explicitly. feature explicitly.
6. Add or update docs, examples, or the compatibility matrix when users need a 6. Add or update the cookbook, examples, and
new launch command. [Supported Models](./compatibility_matrix) catalog when users need a new
launch command.
Common failure points: Common failure points:
docs/src/snippets/diffusion/model-catalog.jsx
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@@ -0,0 +1,291 @@
// Keep explicit model IDs aligned with multimodal_gen/registry.py. The unit
// test for this component reports registry entries missing from the catalog.
export const DiffusionModelCatalog = ({ category }) => {
const MODEL_CATALOG = {
image: [
{
name: "FLUX",
modelIds: [
"black-forest-labs/FLUX.1-dev",
"black-forest-labs/FLUX.2-dev",
"black-forest-labs/FLUX.2-dev-NVFP4",
"black-forest-labs/FLUX.2-klein-4B",
"black-forest-labs/FLUX.2-klein-9B",
"black-forest-labs/FLUX.2-klein-base-4B",
"black-forest-labs/FLUX.2-klein-base-9B",
],
cookbook: "/cookbook/diffusion/FLUX/FLUX",
},
{
name: "Qwen-Image",
modelIds: [
"Qwen/Qwen-Image",
"nvidia/Qwen-Image-NVFP4",
"Qwen/Qwen-Image-2512",
],
cookbook: "/cookbook/diffusion/Qwen-Image/Qwen-Image",
},
{
name: "Qwen-Image Edit / Layered",
modelIds: [
"Qwen/Qwen-Image-Edit",
"Qwen/Qwen-Image-Edit-2509",
"Qwen/Qwen-Image-Edit-2511",
"Qwen/Qwen-Image-Layered",
],
cookbook: "/cookbook/diffusion/Qwen-Image/Qwen-Image-Edit",
},
{
name: "Z-Image",
modelIds: ["Tongyi-MAI/Z-Image", "Tongyi-MAI/Z-Image-Turbo"],
cookbook: "/cookbook/diffusion/Z-Image/Z-Image-Turbo",
},
{
name: "Krea-2",
modelIds: ["krea/Krea-2"],
cookbook: "/cookbook/diffusion/Krea/Krea-2",
},
{
name: "LongCat-Image",
modelIds: [
"meituan-longcat/LongCat-Image",
"meituan-longcat/LongCat-Image-Edit",
"meituan-longcat/LongCat-Image-Edit-Turbo",
],
cookbook: "/cookbook/diffusion/LongCat/LongCat-Image",
},
{
name: "Stable Diffusion 3 / 3.5",
modelIds: [
"stabilityai/stable-diffusion-3-medium",
"stabilityai/stable-diffusion-3-medium-diffusers",
"stabilityai/stable-diffusion-3.5-medium",
"stabilityai/stable-diffusion-3.5-medium-diffusers",
"stabilityai/stable-diffusion-3.5-large",
"stabilityai/stable-diffusion-3.5-large-diffusers",
],
},
{
name: "SANA",
modelIds: [
"Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers",
"Efficient-Large-Model/SANA1.5_4.8B_1024px_diffusers",
"Efficient-Large-Model/Sana_1600M_1024px_diffusers",
"Efficient-Large-Model/Sana_600M_1024px_diffusers",
"Efficient-Large-Model/Sana_1600M_512px_diffusers",
"Efficient-Large-Model/Sana_600M_512px_diffusers",
],
},
{
name: "Ideogram 4",
modelIds: [
"ideogram-ai/ideogram-4-fp8",
"ideogram-ai/ideogram-4-nf4",
"Comfy-Org/Ideogram-4",
"fal/ideogram-v4-fast",
"fal/ideogram-v4-instant",
],
cookbook: "/cookbook/diffusion/Ideogram/Ideogram4",
},
{
name: "ERNIE-Image",
modelIds: ["baidu/ERNIE-Image", "baidu/ERNIE-Image-Turbo"],
cookbook: "/cookbook/diffusion/Ernie-Image/Ernie-Image",
},
{
name: "FireRed-Image",
modelIds: [
"FireRedTeam/FireRed-Image-Edit-1.0",
"FireRedTeam/FireRed-Image-Edit-1.1",
],
},
{
name: "JoyAI-Image",
modelIds: ["jdopensource/JoyAI-Image-Edit-Diffusers"],
},
{
name: "GLM-Image",
modelIds: ["zai-org/GLM-Image"],
note: "Resolved by the GLM-Image family detector.",
},
{
name: "Hunyuan3D 2",
modelIds: ["tencent/Hunyuan3D-2"],
},
],
video: [
{
name: "Wan 2.1",
modelIds: [
"Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
"Wan-AI/Wan2.1-T2V-14B-Diffusers",
"Wan-AI/Wan2.1-I2V-14B-480P-Diffusers",
"Wan-AI/Wan2.1-I2V-14B-720P-Diffusers",
"weizhou03/Wan2.1-Fun-1.3B-InP-Diffusers",
],
cookbook: "/cookbook/diffusion/Wan/Wan2.1",
},
{
name: "Wan 2.2",
modelIds: [
"Wan-AI/Wan2.2-TI2V-5B-Diffusers",
"Wan-AI/Wan2.2-T2V-A14B-Diffusers",
"nvidia/Wan2.2-T2V-A14B-Diffusers-NVFP4",
"Wan-AI/Wan2.2-I2V-A14B-Diffusers",
],
cookbook: "/cookbook/diffusion/Wan/Wan2.2",
},
{
name: "FastWan / TurboWan",
modelIds: [
"FastVideo/FastWan2.1-T2V-1.3B-Diffusers",
"FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers",
"FastVideo/FastWan2.2-TI2V-5B-Diffusers",
"IPostYellow/TurboWan2.1-T2V-1.3B-Diffusers",
"IPostYellow/TurboWan2.1-T2V-14B-Diffusers",
"IPostYellow/TurboWan2.1-T2V-14B-720P-Diffusers",
"IPostYellow/TurboWan2.2-I2V-A14B-Diffusers",
],
cookbook: "/cookbook/diffusion/Wan/Wan2.2",
},
{
name: "LTX 2 / 2.3",
modelIds: ["Lightricks/LTX-2", "Lightricks/LTX-2.3"],
cookbook: "/cookbook/diffusion/LTX/LTX2 & LTX2.3",
},
{
name: "LTX 2.5",
modelIds: ["Lightricks/LTX-2.5-Diffusers"],
cookbook: "/cookbook/diffusion/LTX/LTX2.5",
},
{
name: "HunyuanVideo",
modelIds: [
"hunyuanvideo-community/HunyuanVideo",
"FastVideo/FastHunyuan-diffusers",
],
},
{
name: "LongLive 2.0",
modelIds: [
"Rabinovich/LongLive-2.0-5B-Diffusers",
"Efficient-Large-Model/LongLive-2.0-5B",
],
cookbook: "/cookbook/diffusion/LongLive/LongLive-2.0",
},
{
name: "MiniMax-H3",
modelIds: ["MiniMaxAI/MiniMax-H3", "MiniMax/MiniMax-H3"],
cookbook: "/cookbook/diffusion/MiniMax/MiniMax-H3",
},
{
name: "FastH3",
modelIds: [
"FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree",
],
cookbook: "/cookbook/diffusion/MiniMax/MiniMax-H3#6-fasth3-4-step-distilled-preview",
},
{
name: "MOVA",
modelIds: ["OpenMOSS-Team/MOVA-360p", "OpenMOSS-Team/MOVA-720p"],
note: "Resolved by the MOVA resolution detector.",
cookbook: "/cookbook/diffusion/MOVA/MOVA",
},
{
name: "JoyAI-Echo",
modelIds: ["jdopensource/JoyAI-Echo"],
cookbook: "/cookbook/diffusion/JoyEcho/JoyEcho",
},
{
name: "SANA-Video",
modelIds: ["Efficient-Large-Model/SANA-Video_2B_480p_diffusers"],
cookbook: "/cookbook/diffusion/SANA-Video/SANA-Video",
},
{
name: "LingBot Video MoE",
modelIds: ["robbyant/lingbot-video-moe-30b-a3b"],
note: "Resolved by the LingBot Video MoE family detector.",
cookbook: "/cookbook/diffusion/LingBot-Video/LingBot-Video-MoE",
},
{
name: "Helios",
modelIds: [
"BestWishYsh/Helios-Base",
"BestWishYsh/Helios-Mid",
"BestWishYsh/Helios-Distilled",
],
},
],
world: [
{
name: "Cosmos 3",
modelIds: [
"nvidia/Cosmos3-Nano",
"nvidia/Cosmos3-Nano-Policy-DROID",
"nvidia/Cosmos3-Super",
"nvidia/Cosmos3-Super-Text2Image",
"nvidia/Cosmos3-Super-Image2Video",
"nvidia/Cosmos3-Edge",
],
cookbook: "/cookbook/diffusion/Cosmos/Cosmos3",
},
{
name: "LingBotWorld",
modelIds: [
"IPostYellow/lingbot-world-fast-diffusers",
"robbyant/lingbot-world-fast-diffusers",
],
cookbook: "/cookbook/diffusion/LingBot-World/LingBot-World",
},
{
name: "LingBotWorld 2.0",
modelIds: ["robbyant/lingbot-world-v2-14b-causal-fast-diffusers"],
cookbook: "/cookbook/diffusion/LingBot-World/LingBot-World-2.0",
},
{
name: "SANA-WM",
modelIds: [
"Efficient-Large-Model/SANA-WM_bidirectional",
"Efficient-Large-Model/SANA-WM_streaming",
],
cookbook: "/cookbook/diffusion/SANA-WM/SANA-WM",
},
{
name: "Pi0.5",
modelIds: ["lerobot/pi05_base", "lerobot/pi05_libero_base"],
cookbook: "/cookbook/vla/OpenPI/Pi0.5",
},
],
};
const models = MODEL_CATALOG[category] || [];
return (
<div className="not-prose sgd-model-catalog" role="list">
{models.map((model) => (
<article key={model.name} className="sgd-model-entry" role="listitem">
<div className="sgd-model-entry-meta">
<h3>{model.name}</h3>
{model.cookbook && (
<a
className="sgd-model-entry-link"
href={model.cookbook}
aria-label={`${model.name} cookbook`}
>
Cookbook <span aria-hidden="true">&rarr;</span>
</a>
)}
</div>
<div className="sgd-model-entry-ids">
{model.modelIds.map((modelId) => (
<div key={modelId} className="sgd-model-id">
<code>{modelId}</code>
</div>
))}
{model.note && <p className="sgd-model-entry-note">{model.note}</p>}
</div>
</article>
))}
</div>
);
};
python/sglang/multimodal_gen/test/unit/test_model_catalog.py
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@@ -0,0 +1,55 @@
import ast
import re
from pathlib import Path
REPO_ROOT = Path(__file__).resolve().parents[5]
REGISTRY_PATH = REPO_ROOT / "python/sglang/multimodal_gen/registry.py"
CATALOG_PATH = REPO_ROOT / "docs/src/snippets/diffusion/model-catalog.jsx"
def _registered_model_ids() -> set[str]:
tree = ast.parse(REGISTRY_PATH.read_text())
model_ids = set()
for node in ast.walk(tree):
if not isinstance(node, ast.Call):
continue
if not isinstance(node.func, ast.Name) or node.func.id != "register_configs":
continue
paths = next(
(
keyword.value
for keyword in node.keywords
if keyword.arg == "hf_model_paths"
),
None,
)
if not isinstance(paths, (ast.List, ast.Tuple)):
continue
model_ids.update(
item.value
for item in paths.elts
if isinstance(item, ast.Constant) and isinstance(item.value, str)
)
return model_ids
def _catalog_model_ids() -> set[str]:
source = CATALOG_PATH.read_text()
model_id_arrays = re.findall(r"modelIds:\s*\[(.*?)\]", source, re.DOTALL)
return {
model_id
for model_id_array in model_id_arrays
for model_id in re.findall(r'"([^"]+)"', model_id_array)
}
def test_explicit_registry_model_ids_are_documented():
missing_model_ids = _registered_model_ids() - _catalog_model_ids()
assert not missing_model_ids, (
"Add newly registered model IDs to the Supported Models catalog: "
f"{sorted(missing_model_ids)}"
)