Type | |
Stats | 34 0 |
Reviews | (9) |
Published | Nov 14, 2024 |
Base Model | |
Training | Steps: 6,000 Epochs: 17 |
Usage Tips | Clip Skip: 1 |
Trigger Words | by Brian Sum |
Hash | AutoV2 45F833CFF3 |
Trained with 30 images using DPM++_2M for SD3.5L Base model for 6000 steps over 20 epochs
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Keyword for this LoRa is "Brian Sum".
See how the keyword is used in the training prompts here : https://imgur.com/a/blPjv6S
The loss chart + training images can also be found here. Feel free to use this set to train your own LoRa sets.
You can download the training data as a zip file here: https://huggingface.co/datasets/codeShare/lora-training-data
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Captions were created using JoyCaption Alpha One : https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-one
JoyCaption Notebook: https://colab.research.google.com/github/camenduru/joy-caption-jupyter/blob/main/joy_caption_jupyter.ipynb
Keyword origin
The keyword "Brian Sum" was selected by running a training image through this notebook: https://huggingface.co/datasets/codeShare/fusion-t2i-generator-data/blob/main/Google%20Colab%20Jupyter%20Notebooks/fusion_t2i_CLIP_interrogator.ipynb
One of the similiar results according to CLIP model in the text_encoding notebook was "art by Brian Sum", so I googled that and behold "Brian Sum" was actually a guy who draws robots! You can find his creations here: https://www.artstation.com/sum .
I did add 4 images of Brian Sum's works into the robot LoRa, bringing up the total from 26 images to 30.