Image-to-image denoise: follow the input image into latent space
Use the official basic image-to-image path to understand how input pixels influence a result. Denoise and seed serve different purposes; there is no single best value for every image.
Purpose and scope
Use the official basic image-to-image path to understand how input pixels influence a result. Denoise and seed serve different purposes; there is no single best value for every image.
Source-supported context
The basic example VAE-encodes the input before sampling and uses denoise to control the extent of change. Interpret that behavior within its specific base model and sampler path. Source 1
Before you start
1. Start with a working base model, matching VAE and valid output node.
2. Preserve the original input image and confirm permission to use it.
3. Compare settings within one workflow rather than attributing differences between unrelated models to one parameter.
Steps and checks
The sequence below is an editorial procedure based on the cited context, not a diagnosis already confirmed for your environment.
Step 1. Import the author's example and inspect Load Image, VAE Encode, KSampler and VAE Decode in sequence.
Step 2. Use modest dimensions and a simple prompt. Confirm the image reaches the encoder instead of leaving sampling on Empty Latent.
Step 3. Hold seed, model and other settings fixed while comparing several denoise values below 1 for changes in structure and detail.
Step 4. Add LoRA, ControlNet or upscaling only after a stable baseline, recording their separate effects.
Completion check
You can identify the image-encoding path and explain the controlled parameter comparison. Whether the result meets an aesthetic goal is a separate assessment.
Limitations and cautions
Low denoise does not guarantee exact preservation of people, text or objects; high denoise is not a universal effect switch. Specialized editing models may use different parameter semantics.
Original sources
- Image-to-image workflow — original record checked 2026-09-21.
Source rechecked on 2026-09-25. The 2026-09-21 date above records the earlier source review. No GPU run, minimum-memory measurement or runtime guarantee is supplied.
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Sources & references
The official basic image-to-image tutorial was rechecked on 2026-09-25. No GPU run, minimum-memory measurement or runtime guarantee is supplied.
01Image-to-image workflowSource checked: 2026-09-25