Instructions to use GraydientPlatformAPI/mucha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/mucha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/mucha", 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:
- cb3969d35208220bdd7df9108cd5cccfca2f279e0c1b9dbe1c2a4069bb825aa9
- Size of remote file:
- 1.72 GB
- SHA256:
- b031532690752eb543f1056b7b8d8d49cd34cc48d6c95520e4ec73ad5136767f
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