[diffusion] feat: add performance mode server args (#24491)

docs/diffusion/api/cli.md

@@ -73,10 +73,13 @@ Use `sglang generate --help` and `sglang serve --help` for the full argument lis
 
 - `--model-path {MODEL}`: model path or Hugging Face model ID
 - `--lora-path {PATH}` and `--lora-nickname {NAME}`: load a LoRA adapter
+- `--lora-merge-mode {auto|merge|dynamic}`: choose how LoRA is applied. `auto` statically merges regular weights and uses dynamic LoRA for FSDP-sharded weights to avoid full-gather peaks.
 - `--num-gpus {N}`: number of GPUs to use
+- `--performance-mode {manual|auto|speed|memory}` / `--mode`: preset for latency/throughput and memory defaults. `auto` is the default and keeps safe offload defaults, using FSDP only for validated DiT-offload replacement paths; use `manual` to keep performance-related server args under explicit user control. Explicit offload, FSDP, and parallelism flags take precedence in all modes.
 - `--tp-size {N}`: tensor parallelism size, mainly for encoders
 - `--sp-degree {N}`: sequence parallelism size
 - `--ulysses-degree {N}` and `--ring-degree {N}`: USP parallelism controls
+- `--enable-cfg-parallel {true|false}`: enable or explicitly disable CFG parallelism
 - `--attention-backend {BACKEND}`: attention backend for native SGLang pipelines
 - `--component-attention-backends {MAP}`: per-component attention backend overrides, for example `text_encoder=torch_sdpa,transformer=fa`
 - `--attention-backend-config {CONFIG}`: attention backend configuration