Text-to-Image
Cosmos
Diffusers
Safetensors
cosmos3_omni
nvidia
cosmos3
vllm-omni
sglang
sglang-diffusion
image-generation
Instructions to use nvidia/Cosmos3-Super-Text2Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos3-Super-Text2Image with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Diffusers
How to use nvidia/Cosmos3-Super-Text2Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nvidia/Cosmos3-Super-Text2Image", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
2 days ago
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Add Cosmos3 family tree graph
Verified signatureAdds the Cosmos3 product and examples lineage graph to the model overview, following the format used by the recent Cosmos3 Nano simulation model cards. Please review the graph and lineage description.c9b72d9
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docs: scope model versions and parameter list to Cosmos3-Super-Text2Image
Verified signaturedaf3d37
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Add Cosmos 3 training content summary link
da579b9
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Fix unseeded generation when seed_base is unset; make the critic's request params configurable (#17)
- Draw one seed base per item when seed_base is unset (9d3c3450a969a62a8a9dbd913724b8b5f7ac248f) - Compare per-iteration seeds as a set in the parallel-generation test (51ee80f6f6a9ad2044d665bdec750f5d07383cc1) - Let callers set the critic's request parameters (9ae57c4d9934f51a986ddad3c2be13e583e1e81d) Co-authored-by: Artur Zolkowski <arturzolkowski@users.noreply.huggingface.co>6d02950
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Add modular pipeline index (#16)
- Add modular pipeline index (631a0d92571cd399b19247d2611a46c18f093d0a) Co-authored-by: Atharva Joshi <atharvajoshi10@users.noreply.huggingface.co>c92432b
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Add SGLang serving instructions (#11)
- Super-squash branch 'main' using huggingface_hub (fbb5fec30c20db9deaa16981d1d12dd53ee820ac) - Add SGLang serving instructions (0cd41a9aa1fbc9c1029776a8244aaded4ee81b0f) - Use SGLang main branch for Cosmos3 install (adf30429aaaf93b7453aa45944cc0f4021f2a92d) - add sglang to more sections (7a79dc65ece838717ab2618e3af3a0855ff93391) - Fix SGLang documentation links (cd0c36fd18449e6eb510b6b9fdbc4cf0a3a0a700) Co-authored-by: Ming-Yu Liu <mingyuliutw@users.noreply.huggingface.co> Co-authored-by: mickqian <MickJ@users.noreply.huggingface.co>fdbdd8c
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Super-squash branch 'main' using huggingface_hub
mingyuliutw +8: CYChenv, tangyue0820, fferroni, harrim-nv, liang1225, shilinzhu-nvidia, mli0603, mbalaNV
Co-authored-by: CYChenv <CYChenv@users.noreply.huggingface.co> Co-authored-by: tangyue0820 <tangyue0820@users.noreply.huggingface.co> Co-authored-by: fferroni <fferroni@users.noreply.huggingface.co> Co-authored-by: harrim-nv <harrim-nv@users.noreply.huggingface.co> Co-authored-by: liang1225 <liang1225@users.noreply.huggingface.co> Co-authored-by: shilinzhu-nvidia <shilinzhu-nvidia@users.noreply.huggingface.co> Co-authored-by: mli0603 <mli0603@users.noreply.huggingface.co> Co-authored-by: mbalaNV <mbalaNV@users.noreply.huggingface.co>754f0cd