Comments (6)
Update the extension to the latest version, it was resolved in afef533
from sd_dreambooth_extension.
Ok, tyvm!
from sd_dreambooth_extension.
Now I have this new error:
Traceback (most recent call last): File "C:\Users\celar\stable-diffusion-webui\modules\ui.py", line 185, in f res = list(func(*args, **kwargs)) File "C:\Users\celar\stable-diffusion-webui\webui.py", line 54, in f res = func(*args, **kwargs) File "C:\Users\celar\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\dreambooth.py", line 265, in start_training trained_steps = main(config) File "C:\Users\celar\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\train_dreambooth.py", line 632, in main train_dataloader = torch.utils.data.DataLoader( File "C:\Users\celar\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data\dataloader.py", line 353, in __init__ sampler = RandomSampler(dataset, generator=generator) # type: ignore[arg-type] File "C:\Users\celar\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data\sampler.py", line 107, in __init__ raise ValueError("num_samples should be a positive integer " ValueError: num_samples should be a positive integer value, but got num_samples=0
from sd_dreambooth_extension.
It clearly says that you need to have number of samples more than 0...
from sd_dreambooth_extension.
Oh my bad, forgot to change that one after the restart.
from sd_dreambooth_extension.
Oh my bad, forgot to change that one after the restart.
so what did you change ? i encounter a same problem
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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from sd_dreambooth_extension.