size mismatch for mid_block.attentions.0.proj_out.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([1280, 1280, 1, 1]). 00:50:24-776948 ERROR Training failed / 训练失败 训练的配置,model_train_type = "sd-lora" p...
大家可以在SDXL-Trian项目中train_config/XL_LoRA_config路径下找到SDXL LoRA的训练参数配置文件config_file.toml和sample_prompt.toml,他们分别存储着SDXL_LoRA的训练超参数与训练中的验证prompt信息。 其中config_file.toml文件中的配置文件包含了sdxl_arguments,model_arguments,dataset_arguments,training_arguments,log...
File "/workspace/diffusers/examples/dreambooth/train_dreambooth_lora_sdxl.py", line 1793, in <module> main(args) File "/workspace/diffusers/examples/dreambooth/train_dreambooth_lora_sdxl.py", line 1514, in main model_input = vae.encode(pixel_values).latent_dist.sample() File "/workspace/...
现在想想,我炼丹能炼到V19那种程度,光是读那篇“THE OTHER LoRA TRAINING RENTRY”就读了有十遍吧…… (擦,明明是小结,结果又说了一千字) (实际上根本没小结,就是想到哪儿白话到哪儿) 最最后附上一些我做的沙雕AI主题梗图: 如果你读到了这里,谢谢你的耐心!!!
本文将会介绍最近折腾的训练内容:SDXL1.0版本的Lora模型。 训练内容:没骨画,国画类的题材。 软件工具版本:Kohya_ss GUI v21.8.7,(https://github.com/bmaltais/kohya_ss)。 我的主页:https://www.liblibai.com/userpage/369b11c9952245e28ea8d107ed9c2746/model ...
return convert_to_fp32(self.model_forward(*args, **kwargs)) File "/home/bowen/zhang3/LDM/lora-scripts/sd-scripts/venv/lib/python3.9/site-packages/torch/amp/autocast_mode.py", line 14, in decorate_autocast return func(*args, **kwargs) ...
Gradient Accumulate Steps LORA Noise Offset LORA LORA Training & VRAM Usage GPU Solutions & RunPod Runpod Setup for LORA Training Runpod Template LORA Update How to select the right LORA Model? Chose the final Model Conclusion on LORA STYLE Training ...
File "/home/bowen/zhang3/LDM/lora-scripts/sd-scripts/library/sdxl_original_unet.py", line 1080, in forward h = torch.cat([h, hs.pop()], dim=1) RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 58 but got size...
如果全部设置正确，那么可以通过LoRA进行Dreambooth微调的训练命令:accelerate launch train_dreambooth_lora_sdxl.py \ --pretrained_model_name_or_path="stabilityai/stable-diffusion-xl-base-0.9" \ --instance_data_dir=data \ --output_dir=output \ --mixed_precision="fp16" \ --instance_...
如果全部设置正确,那么可以通过LoRA进行Dreambooth微调的训练命令: accelerate launch train_dreambooth_lora_sdxl.py \ --pretrained_model_name_or_path="stabilityai/stable-diffusion-xl-base-0.9" \ --instance_data_dir=data \ --output_dir=output \ ...