Instructions to use Muapi/fingering-from-behind with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/fingering-from-behind 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/fingering-from-behind") 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:
- acb656a8b324fc3c743229390e63133d57e6a19a96dc5d0ab5ed7a958af461f7
- Size of remote file:
- 4.05 MB
- SHA256:
- 7fbaae068d2768726bc947d0e8d02ab37c9e88ca323843f989cb67ef427e5614
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