Instructions to use WaveCut/Cosmos3-Super-Text2Image-SDNQ-Uint4-SVD-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/Cosmos3-Super-Text2Image-SDNQ-Uint4-SVD-Transformer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/Cosmos3-Super-Text2Image-SDNQ-Uint4-SVD-Transformer", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download examples/nvidia_example_caption_bf16.png from WaveCut/Cosmos3-Super-Text2Image-SDNQ-Uint4-SVD-Transformer: direct link, hf CLI and curl.
- Browser
- Download file 1.22 MB
-
https://huggingface.co/WaveCut/Cosmos3-Super-Text2Image-SDNQ-Uint4-SVD-Transformer/resolve/main/examples/nvidia_example_caption_bf16.png
- Command line
-
hf download hf://WaveCut/Cosmos3-Super-Text2Image-SDNQ-Uint4-SVD-Transformer/examples/nvidia_example_caption_bf16.png
-
curl -L -o nvidia_example_caption_bf16.png https://huggingface.co/WaveCut/Cosmos3-Super-Text2Image-SDNQ-Uint4-SVD-Transformer/resolve/main/examples/nvidia_example_caption_bf16.png
1.22 MB

- Xet hash:
- 9e0187a16bf0f9da6e86a12c75295d0a1afb80a3877893a8b6b063f890c4af40
- Size of remote file:
- 1.22 MB
- SHA256:
- 2c4ed931255ab651b91247d711cc81e0f08ad34cdcd99448a7e326fd89836792
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