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
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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