Similar training parameters to v1 except I used constant instead of cosine_with_restarts and stopped at epoch 17 - The resulting LoRA produces images more inline with my intention. Seems easier to get results with simple prompts.










Simple Vector Flux was trained on a curated dataset of ~50 synthetic images in classic vector style, 15 epochs, 2 repeats, ~1500 steps.
This is a work in progress and it can be a little temperamental, the captioning was done using Joy Caption Batch with the trigger "v3ct0r" and "vector" in the prefix of the captions.
You have to work a little bit to get desired results and sometimes there is bleeding/blending of subjects but overall the style is present and the results can be really good. This LoRA takes a couple of tries adjusting your prompt and adding tokens to match the style. Expect a second version of this LoRA soon.
If you enjoy this resource please send BUZZ ⚡️so I can keep experimenting and sharing. Please share your images in the gallery after downloading them, by sharing them in the gallery the system gives creators buzz to help with generating and training.
Trigger keyword: 'v3ct0r'
Recommended strengths: 0.6 - 0.9
Similar training parameters to v1 except I used constant instead of cosine_with_restarts and stopped at epoch 17 - The resulting LoRA produces images more inline with my intention. Seems easier to get results with simple prompts.
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