Instructions to use Muapi/impossible-fit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/impossible-fit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/impossible-fit") 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:
- f71164eb7894ed92f765baa15e7f72e27a91efdd73b6f97fb3ab0222d91f447a
- Size of remote file:
- 1.19 MB
- SHA256:
- 716a1cba9d8706e71e6807018b663e3be14584179da5355d3c44b0373858a695
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