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Artiprocher
2025-11-05 16:08:01 +08:00
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docs/Developer_Guide/Integrating_Your_Model.md
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@@ -147,6 +147,40 @@ if hash_model_file(model_path) == model_hash:
`diffsynth/configs/model_configs.py` 中的 `model_hash` 不是唯一存在的，同一模型文件中可能存在多个模型。对于这种情况，请使用多个模型 Config 分别加载每个模型，编写相应的 `state_dict_converter` 分离每个模型所需的参数。
## Step 4: 编写模型显存管理方案
## Step 4: 检验模型是否能被识别和加载
`DiffSynth-Studio` 支持复杂的显存管理，详见[启用显存管理](./Enabling_VRAM_management.py)。
模型接入之后，可通过以下代码验证模型是否能够被正确识别和加载，以下代码会试图将模型加载到内存中：
```python
from diffsynth.models.model_loader import ModelPool
model_pool = ModelPool()
model_pool.auto_load_model(
[
"models/Qwen/Qwen-Image/text_encoder/model-00001-of-00004.safetensors",
"models/Qwen/Qwen-Image/text_encoder/model-00002-of-00004.safetensors",
"models/Qwen/Qwen-Image/text_encoder/model-00003-of-00004.safetensors",
"models/Qwen/Qwen-Image/text_encoder/model-00004-of-00004.safetensors",
],
)
```
如果模型能够被识别和加载，则会看到以下输出内容：
```
Loading models from: [
"models/Qwen/Qwen-Image/text_encoder/model-00001-of-00004.safetensors",
"models/Qwen/Qwen-Image/text_encoder/model-00002-of-00004.safetensors",
"models/Qwen/Qwen-Image/text_encoder/model-00003-of-00004.safetensors",
"models/Qwen/Qwen-Image/text_encoder/model-00004-of-00004.safetensors"
]
Loaded model: {
"model_name": "qwen_image_text_encoder",
"model_class": "diffsynth.models.qwen_image_text_encoder.QwenImageTextEncoder",
"extra_kwargs": null
}
```
## Step 5: 编写模型显存管理方案
`DiffSynth-Studio` 支持复杂的显存管理，详见[启用显存管理](./Enabling_VRAM_management.md)。