FLUX GitHub Repo Guide

FLUX GitHub Repo Guide | Generated by AI

Home 2026.07

Question: What’s the FLUX GitHub repo?

Answer:

The official FLUX repo is:

Black Forest Labs FLUX GitHub repository

GitHub:

git clone https://github.com/black-forest-labs/flux
cd flux
pip install -e ".[all]"

It contains the official inference code for FLUX.1 models from Black Forest Labs. (GitHub)

Main structure:

flux/
├── src/flux/
│   ├── model.py
│   ├── sampling.py
│   ├── util.py
│   └── cli.py
├── demo_st.py
├── demo_gr.py
├── pyproject.toml
└── model_licenses/

(GitHub)

The model family:

Model	Purpose	License
FLUX.1-schnell	Fast generation	Apache 2.0
FLUX.1-dev	Higher quality	Non-commercial license
FLUX.1-Fill	Inpainting/outpainting	Non-commercial
FLUX.1-Canny	Edge control	Non-commercial
FLUX.1-Depth	Depth guided generation	Non-commercial
FLUX.1-Kontext	Image editing/context generation	Non-commercial

(GitHub)

For your AMD Radeon Cloud box (gfx1100, 48GB VRAM), I would start with FLUX.1-schnell.

Typical workflow:

# install
git clone https://github.com/black-forest-labs/flux
cd flux

python3 -m venv .venv
source .venv/bin/activate

pip install -e ".[all]"

Download weights from Hugging Face:

black-forest-labs/FLUX.1-schnell
black-forest-labs/FLUX.1-dev

(GitHub)

Then run:

python demo_st.py \
  --name flux-schnell \
  --prompt "a cyberpunk city at night, cinematic lighting"

For AMD ROCm, the easier path is usually:

FLUX
  |
  +-- diffusers (HuggingFace)
  |
  +-- ComfyUI
  |
  +-- ROCm PyTorch

because ComfyUI has many optimizations and workflows.

Your 48GB VRAM should comfortably handle:

FLUX.1-schnell 1024x1024     ✅
FLUX.1-dev 1024x1024         ✅
FLUX LoRA inference          ✅
FLUX image editing            ✅

The interesting hackathon direction on that AMD GPU would be:

Qwen3-VL / LLM
        |
        v
 prompt + planning agent
        |
        v
      FLUX
        |
        v
 generated images/video assets

A local multimodal creative agent would fit this hardware very well.

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