Comments (8)
Hi @GiusTex , I had the same problem. The instructions in the extension repo are a little unclear 😉 ,as I am also on Windows, here's what solved it for me:
- Put the absolute path into the gui, Train Model -> Settings -> Concept Lists:
X:\dreambooth\concepts\concepts_list.json
- inside the JSON file, use the following format for the path entries:
{
"instance_prompt": "photo of blah woman",
"class_prompt": "photo of a woman",
"instance_data_dir": "X:/dreambooth/path_to_instance_dir/subfolder",
"class_data_dir": "X:/dreambooth/path_to_class_regularization_dir/woman"
},
With these settings, training runs even with multiple concepts. At least for me. :)
The trick here was to use absolute paths in JSON.
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It doesn't work for me, I tried "X:\path\to\concepts_list.json", "C:\path\to\concepts_list.json", "C:\ \path\ \to\ \concepts_list.json" (without the spaces, it's just to make them appear in the comment), and "C:/path/to/concepts_list.json", all them with the absolute paths inside the json file with {[...]} and also with {...} as in your example, but I keep getting error
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It doesn't work for me, I tried "X:\path\to\concepts_list.json", "C:\path\to\concepts_list.json", "C:\ \path\ \to\ \concepts_list.json" (without the spaces, it's just to make them appear in the comment), and "C:/path/to/concepts_list.json", all them with the absolute paths inside the json file with {[...]} and also with {...} as in your example, but I keep getting error
With JSON, you need to either use forward slashes "/", or escape your backslashes by doubling them "\\".
So, for your example, it should be "X:\\path\\to\\concepts_list.json".
Edit, Ironically, even on github, I have to type 4 backslashes to get it to print 2.
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It doesn't work for me, I tried "X:\path\to\concepts_list.json", "C:\path\to\concepts_list.json", "C:\ \path\ \to\ \concepts_list.json" (without the spaces, it's just to make them appear in the comment), and "C:/path/to/concepts_list.json", all them with the absolute paths inside the json file with {[...]} and also with {...} as in your example, but I keep getting error
With JSON, you need to either use forward slashes "/", or escape your backslashes by doubling them "\".
So, for your example, it should be "X:\path\to\concepts_list.json".
Edit, Ironically, even on github, I have to type 4 backslashes to get it to print 2.
I already did it (X:\\path\\json and also X:/path/json), as I wrote above, and it didn't work..
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try right clicking the folder in windows and click copy as path, try to use that.
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This should be resolved, both with spaces in the path and loading JSON from the UI. Please open a new issue if you have further problems.
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Hi @GiusTex , I had the same problem. The instructions in the extension repo are a little unclear 😉 ,as I am also on Windows, here's what solved it for me:
- Put the absolute path into the gui, Train Model -> Settings -> Concept Lists:
X:\dreambooth\concepts\concepts_list.json
- inside the JSON file, use the following format for the path entries:
{ "instance_prompt": "photo of blah woman", "class_prompt": "photo of a woman", "instance_data_dir": "X:/dreambooth/path_to_instance_dir/subfolder", "class_data_dir": "X:/dreambooth/path_to_class_regularization_dir/woman" },
With these settings, training runs even with multiple concepts. At least for me. :) The trick here was to use absolute paths in JSON.
Does the JSON file need an opening and closing square bracket? That's what the example shows in the Readme.
from sd_dreambooth_extension.
Hi @GiusTex , I had the same problem. The instructions in the extension repo are a little unclear 😉 ,as I am also on Windows, here's what solved it for me:
- Put the absolute path into the gui, Train Model -> Settings -> Concept Lists:
X:\dreambooth\concepts\concepts_list.json
- inside the JSON file, use the following format for the path entries:
{ "instance_prompt": "photo of blah woman", "class_prompt": "photo of a woman", "instance_data_dir": "X:/dreambooth/path_to_instance_dir/subfolder", "class_data_dir": "X:/dreambooth/path_to_class_regularization_dir/woman" },
With these settings, training runs even with multiple concepts. At least for me. :) The trick here was to use absolute paths in JSON.
Does the JSON file need an opening and closing square bracket? That's what the example shows in the Readme.
I already tried with the square brackets (it's in my first comment) and it didn't work, i tried again now and still it doesn't work. I've left for now dreambooth inside webui also beacuse it gives me cuda out of memory (optimized with 8 bit adam), while using normal dreambooth (not the one inside webui) i don't have those errors
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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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