A user on Reddit is seeking advice on training image generation models, specifically Ideogram and ZIT, with a dataset of 30,000 high-quality, realistic photographic images. They are experimenting with various configurations, including different resolutions, learning rates, optimizers, batch sizes, and training methods like full fine-tune versus LoRA. The user reports struggling with convergence for ZIT and poor output quality for Ideogram, despite trying numerous settings. AI
IMPACT Guidance sought on optimizing training parameters for image generation models.
RANK_REASON User is asking for advice on training existing models, not announcing a new release or significant development.
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