Instructions to use mberke11/face_replace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mberke11/face_replace with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mberke11/face_replace") prompt = "w" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 49d468629702a02446b4306e316f7438bf5883934961f3f10de2726bb1e99ed0
- Size of remote file:
- 307 MB
- SHA256:
- e02a12e45ebb9e7e2382f2ac54ac754d6ffb427409a92f4cebd82aa2735e4289
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