Instructions to use Muapi/warts-dildo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/warts-dildo 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/warts-dildo") 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:
- c7c34b8018bf71882cd60342a6dc68fbe7b810a5e799fb62a41e6b85d6e02775
- Size of remote file:
- 2.11 MB
- SHA256:
- 9fb3d619f573de90a17676a5e025fbb193a75fd861b3567b3c3c58d3607b1ccb
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