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Denoise strength below 1.0 in KSampler enables image-to-image sampling

Concept L2First instrument K · AI & real-time generative AV

The denoise parameter (0.0–1.0) on KSampler controls what fraction of the full noise schedule is applied. At 1.0 the latent is fully noised and denoised from scratch (txt2img). At values below 1.0 the initial latent retains structure from a source image and only partial denoising is applied, preserving composition while allowing variation (img2img). A value of 0.5 applies roughly half the schedule; 0.0 produces no change. Common creative use: feed a rough sketch as latent at denoise=0.65 to refine details while keeping the layout.

Examples

denoise=1.0 → txt2img from noise; denoise=0.75 → img2img that keeps rough composition; denoise=0.4 → subtle variation.

Assessment

A user wants to upscale and refine a generated image without changing its composition. What denoise value range is appropriate and why?

Prerequisites — understand these first

Don't confuse with

Sources

“amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image s”
corpus · comfyui-modular-node-graph-engine-for-diffusion-pipelines · chunk 475

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