metadata

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
base_model:
  - ashen0209/Flux-Dev2Pro
  - black-forest-labs/FLUX.1-schnell
tags:
  - text-to-image
  - flux
  - merge
widget:
  - text: Example 1
    output:
      url: images/0015.webp
  - text: Example 2
    output:
      url: images/0022.webp
  - text: Example 3
    output:
      url: images/0012.webp
  - text: Example 4
    output:
      url: images/0014.webp
  - text: Example 5
    output:
      url: images/0033.webp
  - text: Example 6
    output:
      url: images/0032.webp

Flux D+S F8 Diffusers

A + B merge, meant for gradio inference, possibly build adapters on top with diffusers.

Inference

Instruction

This model needs 10 steps, otherwise the images remain blurry.

ComfyUI

I convert all my checkpoints locally. There are 5+ file formats out there, they take up too much space.

Download the contents of this repo, then enter the directory. A script will convert the diffusers format to something that is compatible with ComfyUI.

cd flux-devpro-schnell-merge-fp8-e4m3fn-diffusers
pip install safetensors torch
python flux_devpro_ckpt.py transformer/diffusion_pytorch_model.safetensors flux-devpro-schnell.safetensors
mv flux-devpro-schnell.safetensors path/to/your/ComfyUI/models/unet/flux-devpro-schnell.safetensors

In the workflow, the LoadDiffusionModel node should take two values: flux-devpro-schnell.safetensors, fp8_e4m3fn.

Use of this code requires citation and attribution to the author via a link to their Hugging Face profile in all resulting work.

Disclaimer

Sharing, reusing the model weights requires a link back to authors and their Hugging Face profile. The source models were uploaded by Ashen0209 and BFL.