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refine code & doc

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Artiprocher
2026-02-06 16:27:23 +08:00
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5 changed files with 29 additions and 12 deletions
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docs/en/Model_Details/Qwen-Image.md
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@@ -106,6 +106,11 @@ Special Training Scripts:
* Two-stage Split Training: [doc](/docs/en/Training/Split_Training.md), [code](/examples/qwen_image/model_training/special/split_training/)
* End-to-end Direct Distillation: [doc](/docs/en/Training/Direct_Distill.md), [code](/examples/qwen_image/model_training/lora/Qwen-Image-Distill-LoRA.sh)
DeepSpeed ZeRO Stage 3 Training: The Qwen-Image series models support DeepSpeed ZeRO Stage 3 training, which partitions the model across multiple GPUs. Taking full parameter training of the Qwen-Image model as an example, the following modifications are required:
* `--config_file examples/qwen_image/model_training/full/accelerate_config_zero3.yaml`
* `--initialize_model_on_cpu`
## Model Inference
Models are loaded via `QwenImagePipeline.from_pretrained`, see [Loading Models](/docs/en/Pipeline_Usage/Model_Inference.md#loading-models).

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docs/en/Model_Details/Wan.md
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@@ -142,6 +142,11 @@ graph LR;
* Two-stage Split Training: [doc](/docs/en/Training/Split_Training.md), [code](/examples/wanvideo/model_training/special/split_training/)
* End-to-end Direct Distillation: [doc](/docs/en/Training/Direct_Distill.md), [code](/examples/wanvideo/model_training/special/direct_distill/)
DeepSpeed ZeRO Stage 3 Training: The Wan series models support DeepSpeed ZeRO Stage 3 training, which partitions the model across multiple GPUs. Taking full parameter training of the Wan2.1-T2V-14B model as an example, the following modifications are required:
* `--config_file examples/wanvideo/model_training/full/accelerate_config_zero3.yaml`
* `--initialize_model_on_cpu`
## Model Inference
Models are loaded via `WanVideoPipeline.from_pretrained`, see [Loading Models](/docs/en/Pipeline_Usage/Model_Inference.md#loading-models).