Instructions to use callgg/cosmos-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/cosmos-decoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("callgg/cosmos-decoder", 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
- Xet hash:
- 4826b298736c5a8847d610aa49121f128f7759be2167778e496f58088caaaa1b
- Size of remote file:
- 9.73 GB
- SHA256:
- ad62d7b0b1ec9d7640da1c7102c720c0fb02eabf0db806fb572f90af38919d2e
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