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:
- bb168afac9e1c64281e7da5b3575d398a880aaa8445ad0f50a132822477140c4
- Size of remote file:
- 16.5 kB
- SHA256:
- 5a50d3a4bdacc8ad440baefe74d2811e626083d5c6c0b01d1b2e5380cbeca9be
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