Meet jp-Amanda-400: My Latest Attempt in Textural Inversion Trainings
I'm thrilled to present jp-Amanda-400, another milestone in my exploration of textural inversion. Build on the Stable Diffusion 1.5 model.
Training Data:
Trained from 22 images cropped and hand captioned cooked for 400 steps to ensure the right aesthetic but not to reproduce an actual person.
Learning rate of 0.005
Enhanced textural depth with 12 vectors per token.
Batch size of 1 and 1 gradient accumulation step.
Images used in creation of embedding skew towards NSFW so prompt accordingly.
I'm interested to see the diverse and imaginative uses of jp-Amanda-400. 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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