Instructions to use Ashfaqmoho/sketch_to_face_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ashfaqmoho/sketch_to_face_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/realistic-vision-v51", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ashfaqmoho/sketch_to_face_lora") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 47e622a7d5408073cb7ffab7e27ad0a39a8f16f0e2c7eb33e027bb43c18ed7f3
- Size of remote file:
- 6.77 MB
- SHA256:
- a27de3f3a74eb066253d152740dbe48baa7a6127630f0f4630bea6f32b8728f2
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