<h3 id="krea-2:">Krea 2:</h3><p>The Krea 2 version tends to add noise to the prompt, which can enhance textures and detail, but can also end up too noisy at times. I swap between er_sde and sgm_uniform for noisier generations where I want more detail and euler_ancestral and linear_quadratic when it gets too noisy. Lowering the strength can also help tone down the noise and artifacts.</p><p>Overall, I think it's a little quirkier than my Z-Image Turbo version, but it definitely has an impact on generation look.</p><h3 id="z-image-turbo:">Z-Image Turbo:</h3><p>I really enjoyed the style of images ChatGPT would produce for a fictional film, so I trained a Z-Image Turbo LoRa on some ChatGPT generated images with prompts provided by ChatGPT itself. It did pretty much exactly what I wanted it to do.</p><p>I use it around 0.5-0.9 strength and I'd also play with samplers and schedulers as they have a fairly significant impact on final product. I think dpmpp and beta has worked the best for me, but it's also much slower than other samplers.</p>

ChatGPT Style

<p>This is the Krea 2 version. It tends to add noise to the prompt, which can enhance textures and detail, but can also end up too noisy at times. I swap between er_sde and sgm_uniform for noisier generations where I want more detail and euler_ancestral and linear_quadratic when it gets too noisy. Lowering the strength can also help tone down the noise and artifacts. </p><p>Overall, I think it's a little quirkier than my Z-Image Turbo version, but it definitely has an impact on generation look.</p>

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