---
license: other
language:
- en
pipeline_tag: text-to-image
tags:
- flux
- flux.1
- flux.1-schnell
- flux.1-dev
- flux-merge
- merge
- blocks
- finetune
- block patcher
library_name: diffusers
---

# Brief introduction:

[Also on CivitAI](https://civitai.com/models/941929)

可能是目前快速出图(10步以内)版 Flux 模型中，出图质量最好、细节最丰富的基础模型。

May be the Best Quality Step 6-10 Model, In some details, it surpasses the Flux.1 Dev model and approaches the Flux.1 Pro model.

Based on **[Flux-Fusion-V2](https://huggingface.co/Anibaaal/Flux-Fusion-V2-4step-merge-gguf-nf4/tree/main)**, Merge of **[flux-dev-de-distill](https://huggingface.co/nyanko7/flux-dev-de-distill/tree/main)**, finetuned by **[ComfyUI](https://github.com/comfyanonymous/ComfyUI)**, **[Block_Patcher_ComfyUI](https://github.com/cubiq/Block_Patcher_ComfyUI)**,  **[ComfyUI_essentials](https://github.com/cubiq/ComfyUI_essentials)** and other tools.
Recommended 6-10 steps. Greatly improved quality compared to other Flux.1 model.

------

![](./compare.jpg)

----

# Recommend:

**UNET versions** (Model only) need Text Encoders and VAE, I recommend use below CLIP and Text Encoder  model, will get better prompt guidance:

- Long CLIP: https://huggingface.co/zer0int/CLIP-GmP-ViT-L-14/blob/main/ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors
- Text Encoders: https://huggingface.co/silveroxides/CLIP-Collection/blob/main/t5xxl_flan_latest-fp8_e4m3fn.safetensors
- VAE: https://huggingface.co/black-forest-labs/FLUX.1-schnell/tree/main/vae

**Simple workflow ** very simple workflow as below, needn't any other comfy custom nodes: 

![](./workflow.png)

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# Thanks for:

https://huggingface.co/Anibaaal, Flux-Fusion is a very good mix and tuned model.

https://huggingface.co/nyanko7, Flux-dev-de-distill is a great experimental project! thanks for the [inference.py](https://huggingface.co/nyanko7/flux-dev-de-distill/blob/main/inference.py) scripts.

https://huggingface.co/MonsterMMORPG, Furkan share a lot of Flux.1 model testing and tuning courses, some special test for the de-distill model.

https://github.com/cubiq/Block_Patcher_ComfyUI, cubiq's Flux blocks patcher sampler let me do a lot of test to know how the Flux.1 block parameter value change the image gerentrating. His [ComfyUI_essentials](https://github.com/cubiq/ComfyUI_essentials) have a FluxBlocksBuster node, let me can adjust the blocks value easy. that is a great work!

https://huggingface.co/twodgirl, Share the model quantization script and the test dataset.

https://huggingface.co/John6666, Share the model convert script and the model collections.

------

## LICENSE

The weights fall under the [FLUX.1 [dev]](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md) Non-Commercial License.