Comments (4)
This is now resolved.
from sd_dreambooth_extension.
I'm having an issue with this extension installing requirements too. There are no spaces in any of my directories, whether that's a separate issue though I don't know but it seems this extension doesn't like certain paths. Are your paths long towards the extension? It could be the length rather than spaces etc.
This my path to the folder, add onto this the extension folder name too and you can see it's pretty long.
G:\StableDiffusion\stable-diffusion-webui\extensions\sd_dreambooth_extension
from sd_dreambooth_extension.
I simply removed the space, and it worked. My path was not particularly long (E:\Stable Diffusion\stable-diffusion-webui)
Issue is that the path name is not quoted/escaped correctly, so certain special characters aside from space might introduce that problem as well.
As a workaround, you can open a cmd prompt in the \sd_dreambooth_extension directory, and run
pip install -r requirements.txt
from sd_dreambooth_extension.
I also saw this issue. Manually installing via the command prompt didn't seem to fix this for me, in the end I had to copy the entire directory to a folder with no spaces in the filepath. It does feel like the installer script should handle spaces more gracefully.
from sd_dreambooth_extension.
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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