Instructions to use mao1207/color-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mao1207/color-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mao1207/color-diffusion", 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:
- d4478dd52832044365afdd6568ad88557455a737bd28ff149916126e3010ca17
- Size of remote file:
- 2.89 GB
- SHA256:
- 57937a5d40a0380246a2d86581342b829b7627b5147fb1d86651a6b50fd118d9
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