Instructions to use nroggendorff/unstable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nroggendorff/unstable-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("nroggendorff/unstable-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:
- 88dbcf214f1b86f6533a82af87013302529278eb8792aa2fd8c4bb39f9c6aa63
- Size of remote file:
- 167 MB
- SHA256:
- 925cf2c47262c6d6bb6ee07e998eb3a76ccf121cd59af6156d06c55ddb1e3e69
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