stable-diffusion-webui-two-shot
multidiffusion-upscaler-for-automatic1111
stable-diffusion-webui-two-shot | multidiffusion-upscaler-for-automatic1111 | |
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29 | 83 | |
412 | 4,444 | |
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3.7 | 7.8 | |
6 months ago | about 1 month ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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stable-diffusion-webui-two-shot
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How do I create widescreen images (21:9) and tell SD to paint the person in the middle?
I tried Regional Prompter and Latent Couple (https://github.com/ashen-sensored/stable-diffusion-webui-two-shot) extension but they don't seem to work properly (latter has awful documentation/examples).
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Consistent environment setup for multiple scenes
Option 5 is to buy a smallish GPU farm and simply rely on good specific and regional prompting pushed through brute forced generations to extract similar looking places out of the thousands of hallucinations. Some loras, checkpoints, regional prompting with the Latent Couple extension in A1111, and an abundant abuse of ControlNet could also help.
- “Elon Musk and Mark Zuckerberg in a cage fight.” (SDXL 0.9)
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Multi-diffusion with LORAs?
Use Latent Couple with Composable LoRA instead
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Why can't it generate people separately? It always seems to combine them. How do I fix this? In this case it is Dwayne Johnson and Kevin Hart.
The solution to this is to use the 'Latent Couple' plugin.
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[Frostveil Series] Up the mountain trail...
All three used the same prompt, which requires the Latent Couple extension.
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MultiDiffusion Region Control plugin for A1111 not installing
git clone -b feature/mask_selection https://github.com/ashen-sensored/stable-diffusion-webui-two-shot.git
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A Simple Comparison of 4 Latest Image Upscaling Strategy in Stable Diffusion WebUI
There are some extensions that break things even when they're disabled. If you're using Latent Couple (two shot), uninstall / delete the folder and and use this fork: https://github.com/ashen-sensored/stable-diffusion-webui-two-shot
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Frostveil, the Nordic realm
I used the Latent Couple extension with the following mask:
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How do I describe an object without those properties being applied to a different part of my image.
I was thinking about this extension.
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?
sd-webui-latent-couple - Latent Couple extension (two shot diffusion port)
ultimate-upscale-for-automatic1111
MultiDiffusion - Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
sd-webui-regional-prompter - set prompt to divided region
ComfyUI_TiledKSampler - Tiled samplers for ComfyUI
stable-diffusion-webui-two-shot - Latent Couple extension (two shot diffusion port)
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-stablesr - StableSR for Stable Diffusion WebUI - Ultra High-quality Image Upscaler
mixture-of-diffusers - Mixture of Diffusers for scene composition and high resolution image generation
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.
stable-diffusion-webui-vae-tile-infer - Yet another vae tiling inferer, extension script for AUTOMATIC1111/stable-diffusion-webui.