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:
- cf27ac3a2585e4531e2a1e64e9cbdb285d9fe7004b00f2bc54aac91a91e0d37d
- Size of remote file:
- 3.46 MB
- SHA256:
- cb6e9f8fcbac8d1b12920a78265cee2b959a4b25f7193ac0f9354197fc07d66f
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