Instructions to use Muapi/human-onahole with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/human-onahole 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/human-onahole") 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:
- 870516eed1f99ef9f81a8addb108878813dd379cf6d45e10ce2b645df1eab67a
- Size of remote file:
- 2.06 MB
- SHA256:
- e87478c95833574148b0dba93bab989220b9b55ce4fd656a866f8c5511160fee
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