Instructions to use Muapi/face-grab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/face-grab 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/face-grab") 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:
- bcd5c822d52b719631e5cd80003198d2661040207d9d4ff036b17751d7414b02
- Size of remote file:
- 228 MB
- SHA256:
- 525f2e5562440eb0e6de8e1b6ef3ee95103a2472413155fc8c728433b8e3bb93
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