multidiffusion-upscaler-for-automatic1111
stable-diffusion-webui-ux
multidiffusion-upscaler-for-automatic1111 | stable-diffusion-webui-ux | |
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83 | 30 | |
4,459 | 943 | |
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7.8 | 9.9 | |
about 1 month ago | 22 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
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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-ux
- Wildly unpredictable faces quality
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Alternative to Canvas Zoom Extension?
If you're open to trying a fork of auto1111, I'd recommend using the Ui-UX fork of auto1111 by anapnoe. It has a big ui overhaul, one item of which is improved inpainting. Has move, zoom, and full a screen mode. Take a look at the screenshots and see if that seems to fit your need.
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Better mobile Inpainting from locally hosted Stable Diffusion?
I'd highly recommend using the Ui-UX fork of auto1111 by anapnoe. It is designed with mobile in mind, and has a custom interface for img2img and inpainting.
- SDFX : New UI for Stable Diffusion
- Is there any interest in a mobile companion app to go with automatic1111?
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AUTOMATIC1111 updated to 1.3.0 version
If you want more than that, the only thing I know of is a fork that needs a fresh install: https://github.com/anapnoe/stable-diffusion-webui-ux
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What is the text-to-image AI tool?
https://github.com/vladmandic/automatic or https://github.com/anapnoe/stable-diffusion-webui-ux
- What web UI should I go for for SD generation? I currently use Easy Diffusion 2.5, but I’ve been meaning to switch since I just got a GeForce RTX 3070. Any good recommendations?
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webui.bat closes instantly?
Yes that's the fork I'm using, it's got a great UX, and I much preferred it when it was working!
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What's your opinion on InvokeAI compared to Automatic1111
Seriously, if anyone wants to use Auto1111 (which supports all the important SD "extras") but are turned off by the clunky interface, try this fork: https://github.com/anapnoe/stable-diffusion-webui-ux. It has a much better UI, runs nearly every Auto1111 extension without issues AND only merges stable commits. If you were already considering InvokeAI (which is in itself a great downscaled SD environment) then try Anapnoe's webui. It's closer to bleeding edge, but without the actual bleeding.
What are some alternatives?
ultimate-upscale-for-automatic1111
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
a1111-nevysha-comfy-ui - A collection of tweak to improve Auto1111 UI//UX [Moved to: https://github.com/Nevysha/Cozy-Nest]
ComfyUI_TiledKSampler - Tiled samplers for ComfyUI
sd-web-ui-kitchen-theme - 🧿 Kitchen theme for stable diffusion webui [Moved to: https://github.com/canisminor1990/sd-webui-kitchen-theme]
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.
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
mixture-of-diffusers - Mixture of Diffusers for scene composition and high resolution image generation
Visual Studio Code - Visual Studio Code
stable-diffusion-webui-two-shot - Latent Couple extension (two shot diffusion port)
StableStudio - Community interface for generative AI