Instructions to use Kontext-Style/Line_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kontext-Style/Line_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kontext-Style/Line_lora") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Update README.md
Browse files
README.md
CHANGED
|
@@ -7,6 +7,7 @@ pipeline_tag: image-to-image
|
|
| 7 |
library_name: diffusers
|
| 8 |
tags:
|
| 9 |
- Style
|
|
|
|
| 10 |
- Line
|
| 11 |
- FluxKontext
|
| 12 |
- Image-to-Image
|
|
|
|
| 7 |
library_name: diffusers
|
| 8 |
tags:
|
| 9 |
- Style
|
| 10 |
+
- lora
|
| 11 |
- Line
|
| 12 |
- FluxKontext
|
| 13 |
- Image-to-Image
|