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생산성 및 협업 · SKILL.md

tiled-diffusion

tiled-diffusion

Configure and troubleshoot the extension's Tiled Diffusion panel for MultiDiffusion, Mixture of Diffusers, img2img upscaling, regional prompts, noise inversion, ControlNet, and StableSR workflows.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: tiled-diffusion description: "Configure and troubleshoot the extension's Tiled Diffusion panel for MultiDiffusion, Mixture of Diffusers, img2img upscaling, regional prompts, noise inversion, ControlNet, and StableSR workflows." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

Tiled Diffusion

Use this sub-skill for the Tiled Diffusion panel: large txt2img canvases, img2img upscaling/detail enhancement, MultiDiffusion, Mixture of Diffusers, Regional Prompt Control, Tiled Noise Inversion, and optional ControlNet/StableSR integration.

When to read

Read this when the user asks about:

  • generating a 2K-8K-style image in AUTOMATIC1111 with limited VRAM;
  • using the extension as an img2img upscaler/detail enhancer;
  • selecting latent tile width/height, overlap, or tile batch size;
  • using per-region prompts, seeds, foreground/background boxes, or saved region configs;
  • ControlNet tensors with tiled diffusion or moving ControlNet tensor to CPU;
  • noise inversion for img2img upscale or why the sampler becomes Euler;
  • UniPC incompatibility, no-effect Tiled Diffusion runs, seams, tile count, or slow tiled sampling.

For VAE encode/decode memory issues, route to tiled-vae. For DemoFusion staged multi-scale upscale, route to demofusion. For extension loading failures, start at the root troubleshooting.

Quick workflow choice

GoalRecommended path
Large txt2img canvasEnable Tiled Diffusion, optionally overwrite image size, start with MultiDiffusion, use larger overlap for smoother joins, and tune tile batch size for memory.
Img2img detail upscaleEnable Tiled Diffusion in img2img, choose an upscaler and scale factor, usually start with Mixture of Diffusers, then tune denoise/upscale/overlap.
Different prompts in different areasUse Regional Prompt Control and read region control.
Preserve/improve img2img detailsUse Noise Inversion cautiously; test on small images and keep denoise low as the UI warning recommends.
ControlNet with tiled generationKeep ControlNet active in WebUI; use Move ControlNet tensor to CPU only when VRAM pressure justifies the transfer cost.

Important source-backed facts

  • The panel is AlwaysVisible in both txt2img and img2img.
  • Method choices are MultiDiffusion and Mixture of Diffusers.
  • Default method is MultiDiffusion for txt2img and Mixture of Diffusers for img2img.
  • Latent tile width/height controls range from 16 to 256 in steps of 16; the default is 96.
  • Latent tile overlap ranges from 0 to 256 in steps of 4; the default is 48 for txt2img and 8 for img2img.
  • Latent tile batch size ranges from 1 to 8; the default is 4.
  • Img2img exposes an upscaler dropdown and scale factor from 1.0 to 8.0.
  • Noise inversion is img2img-only and the UI warns that default parameters require denoise <= 0.6.
  • When noise inversion is enabled, the extension switches the sampler to Euler because noise inversion only supports that sampler path.
  • MultiDiffusion asserts that it is not compatible with the UniPC sampler.
  • If the target canvas is not split into more than one tile and no region/noise-inversion work is active, the extension deliberately ignores tiling.

References

  • Workflows: end-to-end txt2img, img2img, noise inversion, and ControlNet/StableSR recipes.
  • Region control: bbox schema, saved config behavior, foreground/background blending, and UI box handling.
  • Troubleshooting: sampler conflicts, no-effect runs, ControlNet/StableSR issues, config save/load errors, and performance symptoms.
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