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2026-03-23 00:58:11 +00:00 · 2024-10-22 09:56:03 +08:00
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--- a/docs/source/finetune/train_flux_lora.md
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+# 训练 FLUX LoRA
+
+以下文件将会被用于构建 FLUX 模型。 你可以从[huggingface](https://huggingface.co/black-forest-labs/FLUX.1-dev)或[modelscope](https://www.modelscope.cn/models/ai-modelscope/flux.1-dev)下载，也可以使用以下代码下载这些文件:
+
+```python
+from diffsynth import download_models
+
+download_models(["FLUX.1-dev"])
+```
+
+```
+models/FLUX/
+└── FLUX.1-dev
+    ├── ae.safetensors
+    ├── flux1-dev.safetensors
+    ├── text_encoder
+    │   └── model.safetensors
+    └── text_encoder_2
+        ├── config.json
+        ├── model-00001-of-00002.safetensors
+        ├── model-00002-of-00002.safetensors
+        └── model.safetensors.index.json
+```
+
+使用以下命令启动训练任务：
+
+```
+CUDA_VISIBLE_DEVICES="0" python examples/train/flux/train_flux_lora.py \
+  --pretrained_text_encoder_path models/FLUX/FLUX.1-dev/text_encoder/model.safetensors \
+  --pretrained_text_encoder_2_path models/FLUX/FLUX.1-dev/text_encoder_2 \
+  --pretrained_dit_path models/FLUX/FLUX.1-dev/flux1-dev.safetensors \
+  --pretrained_vae_path models/FLUX/FLUX.1-dev/ae.safetensors \
+  --dataset_path data/dog \
+  --output_path ./models \
+  --max_epochs 1 \
+  --steps_per_epoch 500 \
+  --height 1024 \
+  --width 1024 \
+  --center_crop \
+  --precision "bf16" \
+  --learning_rate 1e-4 \
+  --lora_rank 4 \
+  --lora_alpha 4 \
+  --use_gradient_checkpointing
+```
+
+有关参数的更多信息，请使用 `python examples/train/flux/train_flux_lora.py -h` 查看详细信息。
+
+训练完成后，使用 `model_manager.load_lora` 加载 LoRA 以进行推理。
+
+```python
+from diffsynth import ModelManager, FluxImagePipeline
+import torch
+
+model_manager = ModelManager(torch_dtype=torch.float16, device="cuda",
+                             file_path_list=[
+                                 "models/FLUX/FLUX.1-dev/text_encoder/model.safetensors",
+                                 "models/FLUX/FLUX.1-dev/text_encoder_2",
+                                 "models/FLUX/FLUX.1-dev/ae.safetensors",
+                                 "models/FLUX/FLUX.1-dev/flux1-dev.safetensors"
+                             ])
+model_manager.load_lora("models/lightning_logs/version_0/checkpoints/epoch=0-step=500.ckpt", lora_alpha=1.0)
+pipe = SDXLImagePipeline.from_model_manager(model_manager)
+
+torch.manual_seed(0)
+image = pipe(
+    prompt=prompt,
+    num_inference_steps=30, embedded_guidance=3.5
+)
+image.save("image_with_lora.jpg")
+```