Comments (2)
Thanks! We are working on optimizing memory for the SegMoE models.
As for using civit models, you can also create your own models with the framework, just pass in the model download link in the config and the SegMoE will be created, let me know if you face any issue with that
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TY!
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Related Issues (20)
- Support local safetensors file HOT 1
- Support Colab and Local Storage HOT 1
- TypeError: no_grad.__init__() on import HOT 3
- positive and negative keywords in .yaml files HOT 2
- Is torch 2.0 mandatory? HOT 2
- [feature] Support StableDiffusionImg2ImgPipeline HOT 1
- Does this work for Stable Cascade? HOT 1
- 77 token limit HOT 5
- Why using negative prompt hidden states as gate weight? HOT 2
- Could you explain the effect of Pos and Neg prompts of each experts? HOT 2
- How to choose the positive prompt and negative prompt? HOT 2
- How to finetune the segmoe and train lora HOT 1
- Got noise image sample
- MoE in the attn heads
- Multi-GPU support HOT 5
- Minor mistake in readme HOT 1
- TypeError: SparseMoeBlock.forward() missing 1 required positional argument: 'scale' HOT 5
- Issue with Civitai downloads HOT 2
- Any benefit to implementing this with lycoris/lora instead of full models? HOT 2
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