Instructions to use johnberg/resedit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use johnberg/resedit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("johnberg/resedit", 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
- Xet hash:
- b30b8037faa6daa1298d64178561d799da258a6e74f74d3d9434904deba399c5
- Size of remote file:
- 1.4 kB
- SHA256:
- fbee387ab351df64b436f8f0a109e28a224d0aa6faa24a79418d207bb9a5c4a9
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