Instructions to use johnowhitaker/rainbowdiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use johnowhitaker/rainbowdiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("johnowhitaker/rainbowdiffusion", 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:
- 06ee4f1b2ca4b3d68a7ef463f0ff4c3e90bd4fd42ddb4ddbcb1b6d0824956d3b
- Size of remote file:
- 1.22 GB
- SHA256:
- 254ccc179be1ce9f3da0515a347205036c3345bc75a249dad8ac08a7027238d4
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