---
base_model:
- black-forest-labs/FLUX.1-Kontext-dev
pipeline_tag: image-to-image
library_name: diffusers
tags:
- text-generation-inference
---

 - pip install git+https://github.com/huggingface/diffusers.git

 - pip install -U bitsandbytes

 - pip install -U transformers

 - pip install sentencepiece

 - pip install protobuf

```py
import torch
from diffusers import FluxKontextPipeline
from diffusers.utils import load_image
import uuid

pipe = FluxKontextPipeline.from_pretrained("kpsss34/FLUX.1-Kontext-dev-int4", torch_dtype=torch.bfloat16)
pipe.to("cuda")

input_image = load_image("./1.jpg")

image = pipe(
  image=input_image,
  prompt="woman wearing dress",
  guidance_scale=2.5,
  num_inference_steps=30
).images[0]

filename = f"generated_image_{uuid.uuid4().hex}.png"
image.save(filename)

print(f"Saved image as {filename}")
```