---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
base_model:
- black-forest-labs/FLUX.1-dev
library_name: diffusers
---

## Model Details
This is a diffusers version of [nyanko7/flux-dev-de-distill](https://huggingface.co/nyanko7/flux-dev-de-distill) that generates exactly the same results as the original. But please note that there is a certain degree of quality degradation in comparison with [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) in our test. 
We are training its fine-tuning models to check its effectiveness, feel free to let us know if you have any interesting findings.

## Usage
```python
import torch
from diffusers import FluxTransformer2DModel
from pipeline_flux_de_distill import FluxPipeline

model_path = "black-forest-labs/FLUX.1-dev"
    
transformer = FluxTransformer2DModel.from_pretrained(
    "InstantX/flux-dev-de-distill-diffusers",
    torch_dtype=torch.bfloat16
)

pipeline = FluxPipeline.from_pretrained(model_path, transformer=transformer, torch_dtype=torch.bfloat16).to("cuda")

prompt = "a tiny astronaut hatching from an egg on the moon"
negative_prompt = "bad photo"

image = pipeline(
    prompt=prompt,
    negative_prompt=negative_prompt,
    guidance_scale=3.5,
    num_inference_steps=24,
).images[0]

image.save("de-distill.jpg")
```

## Other Resources
- [MinusZoneAI/flux-dev-de-distill-fp8](https://huggingface.co/MinusZoneAI/flux-dev-de-distill-fp8), [TheYuriLover/flux-dev-de-distill-GGUF](https://huggingface.co/TheYuriLover/flux-dev-de-distill-GGUF)
- [ashen0209/Flux-Dev2Pro](https://huggingface.co/ashen0209/Flux-Dev2Pro), [ostris/OpenFLUX.1](https://huggingface.co/ostris/OpenFLUX.1)


## Acknowledgements
This project is co-sponsored by [HuggingFace](https://huggingface.co/) and [fal](https://huggingface.co/fal).