Instructions to use hf-internal-testing/tiny-cosmos3-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-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-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:
- 8831c423c38e2ec7390fe19c9f17c567ae5d48424693f1240c72d69c3be78596
- Size of remote file:
- 167 kB
- SHA256:
- 9baafae0091064db9eeeb21d2bdd7645cb4c97bc590d5eabba4780bf50237560
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