[SOLVED] SDXL Training OSError: Can't load tokenizer 'laion/CLIP-ViT-bigG-14' on RunPod & Docker

Keywords: SDXL LoRA Training, OSError, laion tokenizer, sd-scripts, kohya_ss, RunPod error, Docker SDXL

Summary (Snippet Optimized)

Fixing the common OSError: Can't load tokenizer for 'laion/CLIP-ViT-bigG-14-laion2B-39B-b160k' during SDXL LoRA training in sd-scripts (Kohya_ss). This guide provides a permanent physical fix for directory collisions on RunPod/Docker.

Technical Root Cause

The transformers library prioritizes local directories. If an empty laion folder exists in your workspace due to environment updates, it triggers an OSError.

The 1-Step Fix (Copy-Paste Command)

Run these commands in your terminal to force-link valid tokenizer files:

Bash

rm -rf laion openai && \
mkdir -p laion/CLIP-ViT-bigG-14-laion2B-39B-b160k openai/clip-vit-large-patch14 && \
find /workspace/stable-diffusion-webui/models/Transformer/ -type f -exec cp {} laion/CLIP-ViT-bigG-14-laion2B-39B-b160k/ \; && \
find /workspace/stable-diffusion-webui/models/Transformer/ -type f -exec cp {} openai/clip-vit-large-patch14/ \;

Author: TextureLoRALab (Creator of the SHIFUKU Series)