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
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/scene-output-1754988392857 (2).jpg
text: w
parameters:
negative_prompt: w
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: w
face_replace
.jpg)
- Prompt
- w
- Negative Prompt
- w
Trigger words
You should use w to trigger the image generation.
Download model
Download them in the Files & versions tab.