How to use Playground2.5 to train lora with own dataset to generate pictures of a specific style？

[hjw-0909]

Describe the bug

Hi,

I have been working on training models using the same dataset as "stabilityai/stable-diffusion-xl-base-1.0" with the script examples/text_to_image/train_text_to_image_lora_sdxl.py, and I achieved quite promising results.

Now, I am trying to further improve the performance by switching to Dreambooth. I am currently using playground2.5 with examples/dreambooth/train_dreambooth_lora_sdxl.py. However, after multiple parameter tuning attempts, the performance is still not as good as the SDXL base model.

I am unsure what might be causing this.

Reproduction

Logs

No response

System Info

• 🤗 Diffusers version: 0.31.0.dev0
• Platform: Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.17
• Running on Google Colab?: No
• Python version: 3.8.20
• PyTorch version (GPU?): 2.2.0 (True)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Huggingface_hub version: 0.25.2
• Transformers version: 4.45.2
• Accelerate version: 1.0.1
• PEFT version: 0.13.2
• Bitsandbytes version: 0.44.1
• Safetensors version: 0.4.5
• xFormers version: not installed
• Accelerator: NVIDIA H800, 81559 MiB
• Using GPU in script?:
• Using distributed or parallel set-up in script?:

Who can help?

No response

[github-actions]

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the contributing guidelines are likely to be ignored.