[diffusion] chore: rename lingbot world v2 (#30518)

docs_new/cookbook/diffusion/LingBot-World/LingBot-World-2.0.mdx

@@ -13,7 +13,7 @@ tag: REALTIME
 
 ## 1. Model Introduction
 
-LingBot World 2.0 is a realtime camera-controlled video world model. In SGLang-diffusion, it belongs to the realtime causal path: the server keeps a live session, samples control signals per chunk, reuses causal DiT state, and decodes video frames incrementally.
+lingbot-world-v2-14b-causal-fast-diffusers is a realtime camera-controlled video world model. In SGLang-diffusion, it belongs to the realtime causal path: the server keeps a live session, samples control signals per chunk, reuses causal DiT state, and decodes video frames incrementally.
 
 This is different from offline diffusion video models such as Wan or LTX. Offline models denoise a bounded latent sequence for one request. Realtime world models generate a continuing stream, so the runtime must manage session state, control events, causal attention cache, and VAE decode cache.
 
@@ -23,7 +23,7 @@ This is different from offline diffusion video models such as Wan or LTX. Offlin
 export SGLANG_LINGBOT_LAZY_VAE_ENCODE_BLACK_FRAMES=60
 export SGLANG_LINGBOT_ENABLE_INTERACTIVE_KV_WINDOW=true
 sglang serve \
-  --model-path robbyant/lingbot-world-v2-diffusers \
+  --model-path robbyant/lingbot-world-v2-14b-causal-fast-diffusers \
   --pipeline-class-name LingBotWorldCausalDMDPipeline \
   --num-gpus 8 \
   --ulysses-degree 8 \

python/sglang/multimodal_gen/registry.py

@@ -769,7 +769,7 @@ def _register_configs():
         sampling_param_cls=LingBotWorldSamplingParams,
         pipeline_config_cls=LingBotWorldV2CausalDMDConfig,
         hf_model_paths=[
-            "robbyant/lingbot-world-v2-diffusers",
+            "robbyant/lingbot-world-v2-14b-causal-fast-diffusers",
         ],
     )
     register_configs(