modelscope / modelscope/DiffSynth-Studio
为什么qwen-image系列的inference和training，vae、text_encoder和dit的部分来要配置自于不同模型的权重？
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Description
比如qwen-image-layered，inference的时候text-encoder用的是qwen-image的，vae和dit用layered的，processor用qwen-image-dit，这么设计是为什么？
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- Read the whole issue, then the project's contributing guide.
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Research direction
Start by comparing the qwen-image-layered inference configuration with the qwen-image configuration, focusing on the named text encoder, VAE, DiT, and processor weights. Document why each component comes from its selected model and clarify how the training and inference configurations differ.
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Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100