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+English / [中文](/README_zh.md)
+
This repository provides training scripts for [Flux model](https://github.com/black-forest-labs/flux) by Black Forest Labs.
[XLabs AI](https://github.com/XLabs-AI) team is happy to publish fune-tuning Flux scripts, including:
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+![FLUX Finetuning scripts](./assets/readme/dark/header-rev1.png)
+
+
+
+[English](/README.md) / 中文
+
+此仓库提供了用于 Black Forest Labs 提出的 [Flux](https://github.com/black-forest-labs/flux) 模型。
+[XLabs AI](https://github.com/XLabs-AI) 团队非常高兴能发布 Flux 的微调脚本,支持的功能包括:
+
+- **LoRA** 🔥
+- **ControlNet** 🔥
+[](https://discord.gg/FHY2guThfy)
+
+# ComfyUI
+
+查看我们的 [ComfyUI 工作流GitHub](https://github.com/XLabs-AI/x-flux-comfyui)。
+![Example Picture 1](https://github.com/XLabs-AI/x-flux-comfyui/blob/main/assets/image1.png?raw=true)
+
+## 环境要求
+1. Python >= 3.10
+2. PyTorch >= 2.1
+3. 需要 HuggingFace CLI 用于下载我们的模型: ```huggingface-cli login```
+
+# 安装指南
+1. 克隆我们的仓库:
+```bash
+git clone https://github.com/XLabs-AI/x-flux.git
+```
+2. 创建新的虚拟环境:
+```bash
+python3 -m venv xflux_env
+source xflux_env/bin/activate
+```
+3. 通过执行以下指令安装我们需要的依赖:
+```bash
+cd x-flux
+pip install -r requirements.txt
+```
+
+# 训练
+
+我们训练 LoRA 和 ControlNet 模型的脚本用到了 [DeepSpeed](https://github.com/microsoft/DeepSpeed)!
+这可以支持 1024x1024 分辨率的数据!
+
+## 模型
+
+我们训练了适用于 [`FLUX.1 [dev]`](https://github.com/black-forest-labs/flux) 的 **IP-Adapter**,**Canny ControlNet**,**Depth ControlNet**,**HED ControlNet** 和**LoRA** 模型文件。
+你可以通过 Hugging Face下载它们。
+
+- [flux-ip-adapter](https://huggingface.co/XLabs-AI/flux-ip-adapter)
+- [flux-controlnet-collections](https://huggingface.co/XLabs-AI/flux-controlnet-collections)
+- [flux-controlnet-canny](https://huggingface.co/XLabs-AI/flux-controlnet-canny)
+- [flux-RealismLora](https://huggingface.co/XLabs-AI/flux-RealismLora)
+- [flux-lora-collections](https://huggingface.co/XLabs-AI/flux-lora-collection)
+- [flux-furry-lora](https://huggingface.co/XLabs-AI/flux-furry-lora)
+
+同时, 我们的模型也可以在 [civit.ai](https://civitai.com/user/xlabs_ai) 访问。
+
+### LoRA
+
+```bash
+accelerate launch train_flux_lora_deepspeed.py --config "train_configs/test_lora.yaml"
+```
+
+### ControlNet
+
+```bash
+accelerate launch train_flux_deepspeed_controlnet.py --config "train_configs/test_canny_controlnet.yaml"
+```
+
+## 训练数据集
+
+训练数据集应当具有以下格式:
+
+```text
+├── images/
+│ ├── 1.png
+│ ├── 1.json
+│ ├── 2.png
+│ ├── 2.json
+│ ├── ...
+```
+
+### `images/*.json` 文件的示例
+
+一个 `.json` 文件包括 "caption" 信息 with a text prompt.
+
+```json
+{
+ "caption": "A figure stands in a misty landscape, wearing a mask with antlers and dark, embellished attire, exuding mystery and otherworldlines"
+}
+```
+
+## 推理
+
+为了测试我们的模型,你有以下选项:
+1. 在我们的ComfyUI 工作流启动 adapters, [查看我们的仓库](https://github.com/XLabs-AI/x-flux-comfyui) for more details
+2. 使用 `main.py` 在 CLI 命令行
+3. 使用 Gradio demo UI
+
+### Gradio
+可以按照以下指令启动 gradio:
+```
+python3 gradio_demo.py --ckpt_dir model_weights
+```
+ `--ckpt_dir` 是下载 XLabs AI adapter 模型权重 (LoRAs, IP-adapter, ControlNets) 的位置。
+
+### IP-Adapter
+```bash
+python3 main.py \
+ --prompt "wearing glasses" \
+ --ip_repo_id XLabs-AI/flux-ip-adapter --ip_name flux-ip-adapter.safetensors --device cuda --use_ip \
+ --width 1024 --height 1024 \
+ --timestep_to_start_cfg 1 --num_steps 25 \
+ --true_gs 3.5 --guidance 4 \
+ --img_prompt assets/example_images/statue.jpg
+```
+
+### LoRA
+![Example Picture 1](./assets/readme/examples/picture-5-rev1.png)
+prompt: "A girl in a suit covered with bold tattoos and holding a vest pistol, beautiful woman, 25 years old, cool, future fantasy, turquoise & light orange ping curl hair"
+![Example Picture 2](./assets/readme/examples/picture-6-rev1.png)
+prompt: "A handsome man in a suit, 25 years old, cool, futuristic"
+
+```bash
+python3 main.py \
+ --prompt "A cute corgi lives in a house made out of sushi, anime" \
+ --lora_repo_id XLabs-AI/flux-lora-collection \
+ --lora_name anime_lora.safetensors \
+ --use_lora --width 1024 --height 1024
+```
+![Example Picture 3](./assets/readme/examples/result_14.png)
+
+
+```bash
+python3 main.py \
+ --use_lora --lora_weight 0.7 \
+ --width 1024 --height 768 \
+ --lora_repo_id XLabs-AI/flux-lora-collection \
+ --lora_name realism_lora.safetensors \
+ --guidance 4 \
+ --prompt "contrast play photography of a black female wearing white suit and albino asian geisha female wearing black suit, solid background, avant garde, high fashion"
+```
+![Example Picture 3](./assets/readme/examples/picture-7-rev1.png)
+
+## Canny ControlNet V3
+```bash
+python3 main.py \
+ --prompt "cyberpank dining room, full hd, cinematic" \
+ --image input_canny1.png --control_type canny \
+ --repo_id XLabs-AI/flux-controlnet-canny-v3 \
+ --name flux-canny-controlnet-v3.safetensors \
+ --use_controlnet --model_type flux-dev \
+ --width 1024 --height 1024 --timestep_to_start_cfg 1 \
+ --num_steps 25 --true_gs 4 --guidance 4
+```
+![Example Picture 1](./assets/readme/examples/canny_result1.png?raw=true)
+```bash
+python3 main.py \
+ --prompt "handsome korean woman, full hd, cinematic" \
+ --image input_canny2.png --control_type canny \
+ --repo_id XLabs-AI/flux-controlnet-canny-v3 \
+ --name flux-canny-controlnet-v3.safetensors \
+ --use_controlnet --model_type flux-dev \
+ --width 1024 --height 1024 --timestep_to_start_cfg 1 \
+ --num_steps 25 --true_gs 4 --guidance 4
+```
+![Example Picture 1](./assets/readme/examples/canny_result2.png?raw=true)
+
+## Depth ControlNet V3
+```bash
+python3 main.py \
+ --prompt "handsome man in balenciaga style, fashion" \
+ --image input_depth1.png --control_type depth \
+ --repo_id XLabs-AI/flux-controlnet-depth-v3 \
+ --name flux-depth-controlnet-v3.safetensors \
+ --use_controlnet --model_type flux-dev \
+ --width 1024 --height 1024 --timestep_to_start_cfg 1 \
+ --num_steps 25 --true_gs 3.5 --guidance 3
+```
+![Example Picture 2](./assets/readme/examples/depth_result1.png?raw=true)
+
+```bash
+python3 main.py \
+ --prompt "a village in minecraft style, 3d, full hd" \
+ --image input_depth2.png --control_type depth \
+ --repo_id XLabs-AI/flux-controlnet-depth-v3 \
+ --name flux-depth-controlnet-v3.safetensors \
+ --use_controlnet --model_type flux-dev \
+ --width 1024 --height 1024 --timestep_to_start_cfg 1 \
+ --num_steps 25 --true_gs 3.5 --guidance 3
+```
+![Example Picture 2](./assets/readme/examples/depth_result2.png?raw=true)
+
+
+## HED ControlNet V3
+```bash
+ python3 main.py \
+ --prompt "A beautiful woman with white hair and light freckles, her neck area bare and visible" \
+ --image input_hed1.png --control_type hed \
+ --repo_id XLabs-AI/flux-controlnet-hed-v3 \
+ --name flux-hed-controlnet-v3.safetensors \
+ --use_controlnet --model_type flux-dev \
+ --width 1024 --height 1024 --timestep_to_start_cfg 1 \
+ --num_steps 25 --true_gs 3.5 --guidance 4
+```
+![Example Picture 2](./assets/readme/examples/hed_result1.png?raw=true)
+
+## 低显存模式
+
+基于[Flux-dev-F8](https://huggingface.co/XLabs-AI/flux-dev-fp8) 模型,训练 LoRA 和 Controlnet FP8 版本,可以通过 `--offload` 和 `--name flux-dev-fp8` 设置来实现低显存的使用 (22 GB):
+```bash
+python3 main.py \
+ --offload --name flux-dev-fp8 \
+ --lora_repo_id XLabs-AI/flux-lora-collection --lora_name realism_lora.safetensors \
+ --guidance 4 \
+ --prompt "A handsome girl in a suit covered with bold tattoos and holding a pistol. Animatrix illustration style, fantasy style, natural photo cinematic"
+```
+![Example Picture 0](./assets/readme/examples/picture-0-rev1.png)
+
+## 加速设置的示例
+
+```yaml
+compute_environment: LOCAL_MACHINE
+debug: false
+deepspeed_config:
+ gradient_accumulation_steps: 2
+ gradient_clipping: 1.0
+ offload_optimizer_device: none
+ offload_param_device: none
+ zero3_init_flag: false
+ zero_stage: 2
+distributed_type: DEEPSPEED
+downcast_bf16: 'no'
+enable_cpu_affinity: false
+machine_rank: 0
+main_training_function: main
+mixed_precision: bf16
+num_machines: 1
+num_processes: 8
+rdzv_backend: static
+same_network: true
+tpu_env: []
+tpu_use_cluster: false
+tpu_use_sudo: false
+use_cpu: false
+
+```
+## 模型许可证书
+
+我们的模型在 [FLUX.1 [dev] Non-Commercial License](https://github.com/black-forest-labs/flux/blob/main/model_licenses/LICENSE-FLUX1-dev) 之下
但是,我们的训练和推理脚本在 Apache 2 协议下。
+
+## 最近的更新
+
+我们发布了新的 适合于Flux的 ControlNet 模型权重: **OpenPose**, **Depth** 和其他!
+继续训练和调整可以参考 [XLabs AI](https://github.com/XLabs-AI) 的 **IP-Adapters** 应对Flux的部分.
+
+![关注我们的持续更新](./assets/readme/dark/follow-cta-rev2.png)