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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Tiled Diffusion, MultiDiffusion, Mixture of Diffusers, and optimized VAE
| Date | Stars |
|---|---|
| 2026-07-24 | 537 |
| 2026-07-25 | 537 |
| 2026-07-28 | 537 |
| 2026-07-30 | 537 |
| 2026-08-06 | 537 |
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# Tiled Diffusion & VAE for ComfyUI
Check out the [SD-WebUI extension](https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111/) for more information.
This extension enables **large image drawing & upscaling with limited VRAM** via the following techniques:
- Reproduced SOTA Tiled Diffusion methods
- [MultiDiffusion](https://github.com/omerbt/MultiDiffusion) <a href="https://arxiv.org/abs/2302.08113"><img width="32" alt="MultiDiffusion Paper" src="https://github.com/shiimizu/ComfyUI-TiledDiffusion/assets/54494639/b753b7f6-f9c0-405d-bace-792b9bbce5d5"></a>
- [Mixture of Diffusers](https://github.com/albarji/mixture-of-diffusers) <a href="https://arxiv.org/abs/2302.02412"><img width="32" alt="Mixture of Diffusers Paper" src="https://github.com/shiimizu/ComfyUI-TiledDiffusion/assets/54494639/b753b7f6-f9c0-405d-bace-792b9bbce5d5"></a>
- pkuliyi2015 & Kahsolt's Tiled VAE algorithm
- ~~pkuliyi2015 & Kahsolt's TIled Noise Inversion method~~
> [!NOTE]
> Sizes/dimensions are in pixels and then converted to latent-space sizes.
## Features
- [x] Supported models
- [x] SD1.x, SD2.x, SDXL, SD3
- [x] FLUX
- [x] ControlNet support
- [ ] ~~StableSR support~~
- [ ] ~~Tiled Noise Inversion~~
- [x] Tiled VAE
- [ ] Regional Prompt Control
- [x] Img2img upscale
- [x] Ultra-Large image generation
## Tiled Diffusion
<div align="center">
<img width="500" alt="Tiled_Diffusion" src="https://github.com/shiimizu/ComfyUI-TiledDiffusion/assets/54494639/7cb897a3-a645-426f-8742-d6ba5cf04b64">
</div>
> [!TIP]
> * Set `tile_overlap` to 0 and `denoise` to 1 to see the tile seams and then adjust the options to your needs.
> * Increase `tile_batch_size` to increase speed (if your machine can handle it).
> * Use the [colorfix node](https://github.com/gameltb/Comfyui-StableSR) if your colors look off.
### Options
| Name | Description |
|-------------------|--------------------------------------------------------------|
| `method` | Tiling [strategy](https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111/blob/fbb24736c9bc374c7f098f82b575fcd14a73936a/scripts/tilediffusion.py#L39-L46). |
| `tile_width` | Tile's width |
| `tile_height` | Tile's height |
| `tile_overlap` | Tile's overlap |
| `tile_batch_size` | The number of tiles to process in a batch |
### How can I specify the tiles' arrangement?
If you have the [Math Expression](https://github.com/pythongosssss/ComfyUI-Custom-Scripts#math-expression) node (or something similar), you can use that to pass in the latent that's passed in your KSampler and divide the `tile_height`/`tile_width` by the number of rows/columns you want.
`C` = number of columns you want
`R` = number of rows you want
`pixel width of input image or latent // C` = `tile_width`
`pixel height of input image or latent // R` = `tile_height`
<img width="800" alt="Tile_arrangement" src="https://github.com/shiimizu/ComfyUI-TiledDiffusion/assets/54494639/9952e7d8-909e-436f-a284-c00f0fb71665">
### SpotDiffusion
[Paper](https://arxiv.org/abs/2407.15507)
A tiling algorithm that attempts to eliminate seams by randomly shifting the denoise window per timestep. It is mainly used for fast inferences by setting `tile_overlap` to 0; otherwise, it's better to stick with the other tiling strategies as they produce better outputs.
This additional feature is experimental, in testing, and subject to change.
## Tiled VAE
<div align="center">
<img width="900" alt="Tiled_VAE" src="https://github.com/shiimizu/ComfyUI-TiledDiffusion/assets/54494639/b5850e03-2cac-49ce-b1fe-a67906bf4c9d">
</div>
<br>
The recommended tile sizes are given upon the creation of the node baseExcerpt of 7,243 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:20c14394faa52c8a, topic:stable-diffusion, topic:image-generation, topic:comfyui