Meet jp-Karolina: My Latest Attempt in Textural Inversion Trainings
I'm thrilled to present jp-Karolina, another milestone in my exploration of textural inversion. Build on the Stable Diffusion 1.5 model.
Training Data:
Built from 28 unique photographs taken by me, ensuring originality without directly replicating the subjects.
Progressive learning rate implemented: 0.05:10, 0.02:20, 0.01:60, 0.005:200, 0.002:500, 0.001:3000, 0.0005.
Enhanced textural depth with 10 vectors per token.
Batch size of 1 and 1 gradient accumulation step.
I'm interested to see the diverse and imaginative uses of jp-Karolina. Your creative interpretations and shared artworks help keep me motivated. I invite you to experiment, share your results, and provide your valuable feedback.
Description
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