multidiffusion-upscaler-for-automatic1111
stable-diffusion-webui-vae-tile-infer
multidiffusion-upscaler-for-automatic1111 | stable-diffusion-webui-vae-tile-infer | |
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83 | 4 | |
4,459 | 45 | |
- | - | |
7.8 | 3.6 | |
about 1 month ago | about 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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multidiffusion-upscaler-for-automatic1111
- Stable Diffusion can't stop generating extra torsos, even with negative prompt. Any suggestions?
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Reduce Or Remove The Use Of RAM In Image Generation
Use tiled VAE, it will save VRAM: pkuliyi2015/multidiffusion-upscaler-for-automatic1111: Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0 (github.com)
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How I do I fix these boxes/lines appearing while using Ultimate SD upscale + CN tiles? All the details are in my comment below. Please Helps. MANY THANKS !!!
My favorite solution is to not use ultimate Sd upscale and instead use multidiffusion-upscaler.
- Is there any way to purge the VRAM of your card after getting OOT'ed other than restarting the Web UI?
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Not able to generate more than 400*400 image
sure, i personally use 'tiled diffusion' https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111, works like charm also use adetailer for faces if its needed.
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GTX 1070 slow render speeds
What worked for my 1080 was using TiledVAE and turning down the quality of my previews - I don't pay much attention to it/s but it's definitely faster than using --medvram, and now I can handle batches and large resolutions without things exploding on me.
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Initial release of A8R8 (Alternate Reality), an opinionated interface for Stable Diffusion image generation, works with A1111. Docker installation included. Open source and runs locally!
I would highly recommend adding https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111 to your A1111 installation, TiledVAE is enabled automatically under the hood in A8R8; this will allow you to get even larger generations before getting an out of memory error. You'll get a Tiled Diffusion checkbox with some reasonable hardcoded defaults as well.
- I love the Tile ControlNet, but it's really easy to overdo. Look at this monstrosity of tiny detail I made by accident.
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Can you generate 2048x2048 images with an 8GB GPU?
Use Tiled VAE https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111
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SDXL 0.9 vs SD 2.1 vs SD 1.5 (All base models) - Batman taking a selfie in a jungle, 4k
That's weird. 10GB should allow you to hires to 2048x2048 at least. Use Tiled VAE extension https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111 that will allow you to go even beyond that.
stable-diffusion-webui-vae-tile-infer
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Tiled Diffusion VAE creating grey blocks; Google's failed me
I tried the second upscale option from the same repo since the main repo got me gray stuff similar to yours, idk didn't try that much yet, sometimes it works sometimes give an error. on 5700xt max Hires that I can do is from 512*768 with 1.5 upscale (768*1152).
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How to make stable diffusion v2.1 txt-to-img generate images slower for less VRAM GPU usage?
You could try this repo -> https://github.com/Kahsolt/stable-diffusion-webui-vae-tile-infer
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For anyone who isn't already aware of it, Tiled VAE is a way to create giant (4k+) images in automatic1111 without any kind of visible seams or lots of complicated steps. Info in comments.
you can still use sd upscale, ultimate sd and reduce the vae load for OOM errors with https://github.com/Kahsolt/stable-diffusion-webui-vae-tile-infer it works with high res fix too
What are some alternatives?
ultimate-upscale-for-automatic1111
batch-face-swap - Automaticaly detects faces and replaces them
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
sd-webui-segment-everything - Segment Anything for Stable Diffusion Webui [Moved to: https://github.com/continue-revolution/sd-webui-segment-anything]
ComfyUI_TiledKSampler - Tiled samplers for ComfyUI
Waifu2x-Extension-GUI - Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
sd-webui-segment-anything - Segment Anything for Stable Diffusion WebUI
mixture-of-diffusers - Mixture of Diffusers for scene composition and high resolution image generation
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
stable-diffusion-webui-two-shot - Latent Couple extension (two shot diffusion port)
stable-diffusion-webui - Stable Diffusion web UI