multidiffusion-upscaler-for-automatic1111
| ultimate-upscale-for-automatic1111 | multidiffusion-upscaler-for-automatic1111 | |
|---|---|---|
| 52 | 83 | |
| 1,504 | 4,459 | |
| - | - | |
| 4.2 | 7.8 | |
| 2 months ago | about 1 month ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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ultimate-upscale-for-automatic1111
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Ultimate Upscale for A1111 BUG
So I have this problem while trying to use "Ultimate Upscale for automatic1111" plugin in A1111, but I cannot find any information about it on any github issue, reddit post or other help platforms.
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Mass generate images?
If you don't already have it, install the Ultimate SD Upscale script. It's in the Automatic1111 available extensions list, or you can install it from the URL. It gives you the option to choose from whatever upscalers you have installed.
- Adventure Girl
- Can't use the SD Upscale script... errors every time. Suggestions?
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I love the Tile ControlNet, but it's really easy to overdo. Look at this monstrosity of tiny detail I made by accident.
Basically you'd select the "tile" Controlnet (both preprocessor and Controlnet model), and then you'd use either tiled diffusion or ultimate SD upscaler to create a tile upscale.
- Upscale photos and artwork in A1111
- ControlNet Reference-Only problems
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Animals as Aztec/Mayan warriors
These were made over multiple iterations, but the workflow basically was - Generate seed image using either lyriel, edge of realism, absolute reality, rpgv4 - One I get an actual animal, use in control net reference_only, regenerate with photography prompt - Upscale with ultimate scale https://github.com/Coyote-A/ultimate-upscale-for-automatic1111
- Some 4k wallpaper i made while trying out a few extensions
- Controlnet : Reference only test
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.
What are some alternatives?
chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
ComfyUI_TiledKSampler - Tiled samplers for ComfyUI
adetailer - Auto detecting, masking and inpainting with detection model.
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.
mixture-of-diffusers - Mixture of Diffusers for scene composition and high resolution image generation
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-webui-two-shot - Latent Couple extension (two shot diffusion port)
Stable-Diffusion-Webui-Civitai-Helper - Stable Diffusion Webui Extension for Civitai, to manage your model much more easily.
stable-diffusion-webui-vae-tile-infer - Yet another vae tiling inferer, extension script for AUTOMATIC1111/stable-diffusion-webui.