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:
- 189176c3a2db46e9b681848988867185e46ccd708cd67e043da27a3e4984ac61
- Size of remote file:
- 3.44 GB
- SHA256:
- cced90d92612654d2a71e9d08641727208b709b46b240304a13b4521698b5d7f
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