Comments (5)
Yes, I believe if you pass the xformers command-line options, then it should install and be used with this.
I don't know if it will negatively impact training results - but it should definitely save VRAM. My motto is "try and find out!". :D
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Yes, I believe if you pass the xformers command-line options, then it should install and be used with this.
I don't know if it will negatively impact training results - but it should definitely save VRAM. My motto is "try and find out!". :D
You write an unconditional sd_hijack.undo_optimization()
, so I have to comment it out. Maybe adding an option to not undo optimizations?
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It seems not to be the case, the optimization in ldm does not affect those used by diffuser, finguring out another way.
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It seems not to be the case, the optimization in ldm does not affect those used by diffuser, finguring out another way.
I just double-checked, and both shivam's repo and the default huggingface repo have the same code regarding xformers optimizations...meaning Shivam hasn't done anything special in this regard.
Just in case, I'll remove the sd_hijack undo_optimization() call, because it really shouldn't do anything here either way.
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Related Issues (20)
- [Bug]: Can't create model using trained & generated model using dreambooth. HOT 3
- [Bug]: Exception training model: 'Cannot copy out of meta tensor; no data!'. HOT 2
- [Bug]: HOT 1
- [Bug]: The deprecation tuple ('LoRAAttnProcessor2_0', '0.26.0', 'Make sure use AttnProcessor2_0 instead by settingLoRA layers to `self.{to_q,to_k,to_v,to_out[0]}.lora_layer` respectively. This will be done automatically when using `LoraLoaderMixin.load_lora_weights`') should be removed since diffusers' version 0.26.1 is >= 0.26.0 HOT 4
- [Bug]: Completely unable to train any LORA with CUDA out of memory error HOT 2
- RuntimeError: Expected query, key, and value to have the same dtype, but got query.dtype: c10::Half key.dtype: float and value.dtype: float instead. HOT 9
- [Bug]: HOT 1
- [Bug]: OSError: Can't load tokenizer for 'laion/CLIP-ViT-bigG-14-laion2B-39B-b160k'. HOT 2
- [Bug]: TypeError: intercept_args() got an unexpected keyword argument 'multiprocessing_context' HOT 1
- Error al cargar sd_dreambooth_extension en Windows 10: 'LoRAAttnProcessor2_0' no definido HOT 1
- [Bug]: Dreambooth (input tab) not showing correctly HOT 10
- [Bug]: Exception training model: 'type object 'LoraLoaderMixin' has no attribute '_modify_text_encoder''. HOT 4
- [Bug]: AttributeError: 'NoneType' object has no attribute 'unscale_grads' HOT 1
- [Bug]: Unable to further train using previously trained ckpt in dreambooth. HOT 1
- [Bug]: Dreambooth can not start training HOT 3
- AttributeError: module 'jax.random' has no attribute 'KeyArray'[Bug]: HOT 1
- [Bug]: Fast api of concepts don't work HOT 2
- [Bug]: AttributeError: 'NoneType' object has no attribute 'keys' HOT 1
- [Bug]: Unable to do training on sdxl model HOT 4
- [Bug]: Memory Attention default try to use xformers if Class Images Per Instance Image is greather that zero and need to generate images HOT 1
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