/recipes/cosmos3/Cosmos3-Super.md

Cosmos3-Super

Frontier 64B world model: text-to-image, text-to-video, image-to-video, video-to-video (+ optional audio)

Summary

• Vendor: NVIDIA
• Model: nvidia/Cosmos3-Super (64B; also Cosmos3-Super-Text2Image, Cosmos3-Super-Image2Video)
• Task: T2I, T2V, I2V, V2V generation, with optional synchronized audio (video + sound)
• Mode: Online serving with the OpenAI-compatible image/video APIs
• Maintainer: Community

When to use this recipe

Use this recipe to deploy the 64B nvidia/Cosmos3-Super for the highest-quality Cosmos3 generation. It shares the same Cosmos3OmniDiffusersPipeline and request formats as Cosmos3-Nano — only the checkpoint size and the recommended parallelism differ. Mode is selected per request (T2I → /v1/images/generations; T2V/I2V/V2V → /v1/videos/sync; add generate_sound=true for audio).

References

• Model card (authoritative usage + example assets): https://huggingface.co/nvidia/Cosmos3-Super
• Nano recipe (same APIs/params): Cosmos3-Nano.md
• Pipeline: vllm_omni/diffusion/models/cosmos3/pipeline_cosmos3.py

Hardware Support

GPU

Requires the vllm-omni package (or the vllm/vllm-omni:cosmos3 container), which provides the vllm serve … --omni entrypoint used below.

8x H200/H100/A100 (recommended, per model card)

vllm serve nvidia/Cosmos3-Super \
  --omni \
  --host 0.0.0.0 --port 8000 \
  --cfg-parallel-size 2 \
  --ulysses-degree 4 \
  --use-hsdp --hsdp-shard-size 8 \
  --init-timeout 1800

2x H200 / B300 (minimum)

vllm serve nvidia/Cosmos3-Super \
  --omni \
  --host 0.0.0.0 --port 8000 \
  --cfg-parallel-size 2 \
  --use-hsdp --hsdp-shard-size 2 \
  --init-timeout 1800

Guardrails are on by default (gated nvidia/Cosmos-1.0-Guardrail — pip install cosmos-guardrail, accept the license, set HF_TOKEN); add --no-guardrails to disable. --enable-layerwise-offload reduces VRAM on smaller GPUs; --quantization fp8 (online, no calibration) cuts peak VRAM for 720p video generation from ~83 GB to ~55 GB per GPU (2-GPU) with BF16-level quality (T2V composition can shift at the same seed).

Verification

Requests are identical to Nano (see Cosmos3-Nano.md for full T2I/T2V/I2V/V2V/T2VS curls); official params: size=1280x720, num_frames=189, fps=24, num_inference_steps=35, guidance_scale=6.0, flow_shift=10.0, max_sequence_length=4096.

curl http://localhost:8000/v1/models
# T2V (official prompt assets give best quality)
curl -sS -X POST http://localhost:8000/v1/videos/sync -H "Accept: video/mp4" \
  -F "model=nvidia/Cosmos3-Super" -F "prompt=A robot arm is cleaning a plate in the kitchen" \
  -F "size=1280x720" -F "num_frames=189" -F "fps=24" -F "num_inference_steps=35" \
  -F "guidance_scale=6.0" -F "max_sequence_length=4096" -F "flow_shift=10.0" \
  -F 'extra_params={"use_resolution_template":false,"use_duration_template":false,"guardrails":true}' \
  -F "seed=17" -o cosmos3_super_t2v.mp4

# I2V — add an uploaded reference image
curl -sS -X POST http://localhost:8000/v1/videos/sync -H "Accept: video/mp4" \
  -F "model=nvidia/Cosmos3-Super" -F "prompt=The scene comes to life with smooth, natural motion." \
  -F "size=1280x720" -F "num_frames=189" -F "fps=24" -F "num_inference_steps=35" \
  -F "guidance_scale=6.0" -F "max_sequence_length=4096" -F "flow_shift=10.0" \
  -F 'extra_params={"use_resolution_template":false,"use_duration_template":false,"guardrails":true}' \
  -F "seed=1111" -F "input_reference=@/path/to/reference.jpg;type=image/jpeg" \
  -o cosmos3_super_i2v.mp4

# V2V — add an uploaded reference video. condition_video_keep can be "first" or "last".
curl -sS -X POST http://localhost:8000/v1/videos/sync -H "Accept: video/mp4" \
  -F "model=nvidia/Cosmos3-Super" -F "prompt=Continue the same scene with smooth natural motion." \
  -F "size=1280x720" -F "num_frames=189" -F "fps=24" -F "num_inference_steps=35" \
  -F "guidance_scale=6.0" -F "max_sequence_length=4096" -F "flow_shift=10.0" \
  -F 'extra_params={"condition_frame_indexes_vision":[0,1],"condition_video_keep":"first"}' \
  -F "seed=2222" -F "input_reference=@/path/to/reference.mp4;type=video/mp4" \
  -o cosmos3_super_v2v.mp4

# T2V + sound — add generate_sound/sound_duration (output muxes AAC 48 kHz stereo)
curl -sS -X POST http://localhost:8000/v1/videos/sync -H "Accept: video/mp4" \
  -F "model=nvidia/Cosmos3-Super" -F "prompt=A robot arm is cleaning a plate in the kitchen" \
  -F "size=1280x720" -F "num_frames=189" -F "fps=24" -F "num_inference_steps=35" \
  -F "guidance_scale=6.0" -F "max_sequence_length=4096" -F "flow_shift=10.0" \
  -F "generate_sound=true" -F "sound_duration=7.875" \
  -F 'extra_params={"use_resolution_template":false,"use_duration_template":false,"guardrails":true}' \
  -F "seed=17" -o cosmos3_super_t2vs.mp4

Notes

• Measured (2x B300, bf16, guardrails off, official 2-GPU config above):
  • T2I 1024², 50 steps → ~6 s
  • T2V 1280×720, 189 frames, 35 steps → ~197 s
  • I2V 1280×720, 189 frames, 35 steps → ~200 s
  • T2V + sound (189 frames, 35 steps) → ~198 s, output muxes AAC 48 kHz stereo
  • (NVIDIA's reference: 8×H200 @ 50 steps ≈ 55 s/video; 2×H200 @ 35 steps ≈ 3 min/video.)
• Memory: ~61.5 GiB per GPU when sharded across 2 GPUs (HSDP shard 2); repo ~135 GB on disk.
• Same generation defaults, supported sizes, V2V reference-video controls (condition_frame_indexes_vision, condition_video_keep), and generate_sound/sound_duration semantics as Nano, including the action modality: forward_dynamics, policy, and inverse_dynamics — see the Cosmos3-Nano recipe for the request shapes. Use async /v1/videos when you need predicted/recovered action metadata under the top-level action field. Verified on the 64B Super under --cfg-parallel-size 2: async policy returns the predicted action ([16, 10]) and the rollout video reliably.