FLUX.1 Kontext Dev LoRA Sketch Style

--- tags: - text-to-image - stable-diffusion - lora - diffusers - image-generation - flux - safetensors widget: - text: >- convert this image into sketches output: url: images/example1.png - text: >- convert this image into sketches output: url: images/example2.png - text: convert this image into sketches output: url: images/example3.png base_model: black-forest-labs/FLUX.1-Kontext-dev instance_prompt: convert real photos into sketches, sketch license: other license_name: flux-1-dev-non-commercial-license license_link: >- https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev/blob/main/LICENSE.md --- # FLUX.1-Kontext-dev-LoRA-Sketch-Style This is a sketch style LoRA trained on FLUX.1-Kontext-dev by [yao](https://www.liblib.art/userpage/8c2ce72c564613278d3ee381f1d6f201/publish). ## Showcases <Gallery /> ## Trigger words You should use `convert real photos into sketches`, `sketch` to trigger the image generation. ## Inference ```python import torch from diffusers import FluxKontextPipeline from diffusers.utils import load_image pipe = FluxKontextPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", torch_dtype=torch.bfloat16) pipe.load_lora_weights("Shakker-Labs/FLUX.1-Kontext-dev-LoRA-Sketch-Style", weight_name="FLUX-kontext-lora-sketch-style.safetensors") pipe.fuse_lora(lora_scale=1.0) pipe.to("cuda") input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") prompt = "convert this image into sketches" image = pipe( image=input_image, prompt=prompt, num_inference_steps=24, guidance_scale=2.5, ).images[0] image.save(f"example.png") ``` ## Acknowledgements This model is trained by our copyrighted users [yao](https://www.liblib.art/userpage/8c2ce72c564613278d3ee381f1d6f201/publish). We release this model under permissions. The model follows [flux-1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).