Apart from that I dont change anything (except paths of course).
When training on 15 images on both colab and locally i get good results on colab and nothing locally. Every run, the model generates images that do not reflect the training data at all.
Reproduction
I only changed the paths like OUTPUT_DIR. Training process, loading the model and inference works, just the model does not seem to learn anything. It keeps generating the concept it previously connected to the prompt.
Hi
I came across a weird behavior on my machine (that is probably my own fault). Maybe you could help me out. I use the notebook (https://colab.research.google.com/github/ShivamShrirao/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) locally without the cell to upload images. Instead i will directly give the path to my dataset in the concept_list. I am not training with any class_prompts / class_images which is why I leave these empty (
""
).Apart from that I dont change anything (except paths of course).
When training on 15 images on both colab and locally i get good results on colab and nothing locally. Every run, the model generates images that do not reflect the training data at all.
Reproduction
I only changed the paths like
OUTPUT_DIR
. Training process, loading the model and inference works, just the model does not seem to learn anything. It keeps generating the concept it previously connected to the prompt.Logs
No response
System Info
diffusers: 0.13.0.dev0 pytorch: 1.13.1+cu117