Instructions to use Muapi/xl-face-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/xl-face-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/xl-face-model") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 01e5f626bbe527fe7a4f143a1f3ba029bc67a1a0cf4f3bc58886c4d1594da8e5
- Size of remote file:
- 271 kB
- SHA256:
- 49ddba8c4f5e4b56b71fab93351a38a31334e0c35412d89978504a4865696b0f
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