Gaffi - (AI)rtist on Twitter: "A full-ish #StableDiffusion Steps vs. CFG vs. sampling method test. Image here is scaled down. I'm not sure how best to distribute the full >200MB image in
![Generated samples from a text-guided Stable Diffusion model fine-tuned... | Download Scientific Diagram Generated samples from a text-guided Stable Diffusion model fine-tuned... | Download Scientific Diagram](https://www.researchgate.net/publication/367529848/figure/fig4/AS:11431281115654005@1675049300268/Generated-samples-from-a-text-guided-Stable-Diffusion-model-fine-tuned-on-a-dataset-of.jpg)
Generated samples from a text-guided Stable Diffusion model fine-tuned... | Download Scientific Diagram
![A graphical explanation of why you should increase your step count from 20 for the final result. : r/StableDiffusion A graphical explanation of why you should increase your step count from 20 for the final result. : r/StableDiffusion](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/images/sampling.jpg)
A graphical explanation of why you should increase your step count from 20 for the final result. : r/StableDiffusion
![Apparently k_euler_ancestral is more affected by steps and cfg than at least k_lms. Most of them look good though, it's my preferred sampler. : r/StableDiffusion Apparently k_euler_ancestral is more affected by steps and cfg than at least k_lms. Most of them look good though, it's my preferred sampler. : r/StableDiffusion](https://preview.redd.it/apparently-k-euler-ancestral-is-more-affected-by-steps-and-v0-tusx7oeewvk91.jpg?auto=webp&s=324a3a9a480bc73ae254fa60176b3232e89cfb41)
Apparently k_euler_ancestral is more affected by steps and cfg than at least k_lms. Most of them look good though, it's my preferred sampler. : r/StableDiffusion
A New AI Approach Based On Operator Splitting Methods For Accelerating Guided Sampling in Diffusion Models - MarkTechPost
![AK on Twitter: "Distilled Stable Diffusion samples, two-stage distillation approach is able to generate realistic images using only 1 to 4 denoising steps on various tasks. Compared to standard classifier-free guided diffusion AK on Twitter: "Distilled Stable Diffusion samples, two-stage distillation approach is able to generate realistic images using only 1 to 4 denoising steps on various tasks. Compared to standard classifier-free guided diffusion](https://pbs.twimg.com/media/Fi5GGbuXgAMcZS6.jpg:large)