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---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- image-generation
- flux
- safetensors
widget:
- text: >-
change to illustration style
output:
url: images/example1.png
- text: >-
change to illustration style
output:
url: images/example2.png
- text: change to illustration style
output:
url: images/example3.png
base_model: black-forest-labs/FLUX.1-Kontext-dev
instance_prompt: illustration style
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-Illustration-Style
This is an illustration style style LoRA trained on FLUX.1-Kontext-dev by [木木木亘](https://www.liblib.art/userpage/8d5ade1f022c453089e473c7e39dbb35/publish).
## Showcases
<Gallery />
## Trigger words
You should use `illustration style` 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-Illustration-Style", weight_name="FLUX-kontext-lora-illustration-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 = "change to illustration style"
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 [木木木亘](https://www.liblib.art/userpage/8d5ade1f022c453089e473c7e39dbb35/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).
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