Instructions to use hf-internal-testing/tiny-cosmos3-distilled-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-cosmos3-distilled-modular-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-cosmos3-distilled-modular-pipe", 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
- Xet hash:
- 1ebde3d64e3fa72ed557bd5327ec7b2c27d0f27eec64c70f6278482350b2fc84
- Size of remote file:
- 11.4 MB
- SHA256:
- f5f2d9ad82d8cc36efa0b551da76a9a1e8c821cbf1aecc41f99c283a325c9069
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