A user on Reddit shared their experience optimizing the ideogram 4 GGUF model for StableDiffusion. By adjusting the CFG scale, changing the sampler to Euler a, and utilizing the unconditional UNet, they significantly reduced graininess and artifacting in generated images. Despite some remaining underexposure and vertical artifacts, the user expressed satisfaction with the model's ability to produce effects like blurs and double exposures, finding it workable for their needs. AI
IMPACT User-level tuning tips for image generation models can improve output quality and efficiency.
RANK_REASON User-level optimization of an existing model, not a new release or benchmark.
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