pkuliyi2015/multidiffusion-upscaler-for-automatic1111

Tiled Diffusion 和 Tiled VAE 的用法区别？ How to understand the difference between Tiled Diffusion and Tiled VAE?

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#367 opened on Mar 21, 2024

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good first issue

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Description

Apart from noise reversion and regional control, Tiled Diffusion and Tiled VAE seem to have the same effect - reducing the VRAM usage. When using text2img or img2img, I tried only using Tiled VAE and it works, whereas adding in Tiled Diffusion would create duplicate characters or other weird results. How should Tiled Diffusion be understood and used correctly? Thanks.

Contributor guide

Research direction
Read the project documentation and source code to compare the implementation and intended use of Tiled Diffusion and Tiled VAE. Test with simple prompts to observe the effects and understand when to use each.
Tech stack
python
Domain
ai
Issue type
Documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonStable Diffusion
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75