lllyasviel / lllyasviel/sd-forge-layerdiffuse
Why conv offsets can be applied to ANY SDXL models?
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Description
Hi, awesome work!
As you mentioned the safetensors you released, which are basically weight offsets (in my understanding), can be applied to any SDXL models.
I can understand that if the base model is the same(params and architecture), applying offsets can finally get the same model. However I tried `layer_xl_transparent_conv.safetensors` on my own fine-tuned model(unet model params are changed), and it still works pretty good.
Is there a theory behind this? Hope maybe you can share some insights.
Thanks!
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Research direction
The issue names layer_xl_transparent_conv.safetensors and an SDXL UNet, but no source file or test. Start by tracing how the safetensors file is applied to the UNet and compare behavior with an unmodified and fine-tuned SDXL model. Done means a documented, reproducible explanation of why the offsets work across these models.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100