Instructions to use weathon/minus_face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use weathon/minus_face with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("weathon/minus_face") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- a577df11991afeb9f014c77a42ba8be771023a0bb0d0eb1cc9f6b541dc6baea4
- Size of remote file:
- 176 kB
- SHA256:
- c43a43b316271139a507ca9b80594b8776a701013dffc498f888ab76c003df0e
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