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Cosmos3 Omni

docs/source/en/model_doc/cosmos3_omni.md

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This model was contributed to Hugging Face Transformers on 2026-06-04.

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Cosmos3 Omni

Cosmos3 is a mixture-of-transformers (MoT) Vision Foundation Model from NVIDIA, composed of a Reasoner tower and a Generator tower. The two towers share the same input embedding and visual encoder but use disjoint MoT experts for understanding vs. generation, plus cross-modal adapters (proj_out, audio_proj_out, action_proj_out, etc.) that connect the language model to image / audio / action heads.

The transformers integration loads only the Reasoner tower from a unified Cosmos3 checkpoint. The Reasoner is architecturally identical to Qwen3-VL — Cosmos3OmniForConditionalGeneration is a thin subclass of Qwen3VLForConditionalGeneration.

Usage

python
import torch
from transformers import AutoProcessor, Cosmos3OmniForConditionalGeneration

model = Cosmos3OmniForConditionalGeneration.from_pretrained("nvidia/Cosmos3-Nano", device_map="auto")
processor = AutoProcessor.from_pretrained("nvidia/Cosmos3-Nano")

conversation = [
    {
        "role": "user",
        "content": [
            {"type": "image", "image": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/pipeline-cat-chonk.jpeg"},
            {"type": "text", "text": "Caption the image in detail."},
        ],
    },
]

inputs = processor.apply_chat_template(
    conversation,
    tokenize=True,
    add_generation_prompt=True,
    return_dict=True,
    return_tensors="pt",
).to(model.device)

generated_ids = model.generate(**inputs, max_new_tokens=512)
output = processor.batch_decode(
    [out[len(inp):] for inp, out in zip(inputs.input_ids, generated_ids)],
    skip_special_tokens=True,
    clean_up_tokenization_spaces=False,
)
print(output[0])

Cosmos3OmniConfig

[[autodoc]] Cosmos3OmniConfig

Cosmos3OmniModel

[[autodoc]] Cosmos3OmniModel - forward - get_video_features - get_image_features

Cosmos3OmniForConditionalGeneration

[[autodoc]] Cosmos3OmniForConditionalGeneration - forward - get_video_features - get_image_features