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:
- fa31cf22e7f7c15336a79c7fcf79077ab6401f782294b103fd67793a7626f67c
- Size of remote file:
- 7.31 MB
- SHA256:
- 382866740d429a75e2ca32857f115ab8d5ce3bc430ff0e4d0191c9afb6a7f1ce
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