Stable-Diffusion-Desktop-Client
mixture-of-diffusers
| Stable-Diffusion-Desktop-Client | mixture-of-diffusers | |
|---|---|---|
| 2 | 6 | |
| 53 | 384 | |
| - | - | |
| 5.8 | 4.4 | |
| 9 months ago | 12 months ago | |
| Pascal | Python | |
| MIT License | MIT License |
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Stable-Diffusion-Desktop-Client
- Windows desktop client /w source for Replicate's API that supports Stable Diffusion 1.5, DreamShaper, Kandinsky-2, OpenJourney, Analog Diffusion, Portrait+, Elden Ring Diffusion, SD 2.1, SD Long Prompts, Future Diffusion, Anything v3, Anything v4, and Waifu Diffusion
- Access 13+ Stable Diffusion models via REST API using this easy to use desktop client built in FireMonkey: SD 1.5, DreamShaper Kandinsky-2, OpenJourney, Analog Diffusion, Portrait+, Elden Ring Diffusion, SD 2.1, SD Long Prompts, Future Diffusion, Anything v3, Anything v4, Waifu Diffusion
mixture-of-diffusers
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ControlNet Tile can generate details for each person in the crowd
Lol. But I know what I started with! I may have linked this above but do check out the mixture of diffusers repo, the image at the top of the readme is what I first tried to reproduce. Here is the prompt from that page:
- Allure of the lake - Txt2Img & region prompter
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Messing with the denoising loop can allow you to reach new places in latent space. Over 8+ different research papers/Auto1111 extension ideas in a single pipe. Load once and do lots of different things (SD 2.1 or 1.5)
So I've continued to experiment with how many papers I can fit into a single pipe and have them play nicely together. The images below were created by combining the panorama code from omerbt/MultiDiffusion with the ideas from albarji/mixture-of-diffusers. Also turns out nateraw/stable-diffusion-videos can be seen as a special case of a panorama (in latent space rather than prompt space).
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[R] [N] "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" enables controllable image generation without any further training or finetuning of diffusion models.
No I'm talking about https://github.com/albarji/mixture-of-diffusers but probably not like the spatial controls of MultiDiffusion.
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You to can create Panorama images 512x10240+ (not a typo) using less then 6GB VRAM (Vertorama works too). A modification of the MultiDiffusion code to pass the image through the VAE in slices then reassemble. Potato computers of the world rejoice.
can you combine this with mixture of diffusers somehow?
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First version of Stable Diffusion was released on August 22, 2022
If we combine Mixture of Diffusers + MultiDiffusion+ Composer+ cross-domain-compositing and probably some more I'm not thinking of.
What are some alternatives?
rnl - RNL - Realtime Network Library - The opensource reliable UDP network library
multidiffusion-upscaler-for-automatic1111 - Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0
AI-Playground-DesktopClient - Language Model playground to access StableLM, ChatGPT, and more.
sd-webui-regional-prompter - set prompt to divided region
AI-Code-Translator - Translate source code from languages like C++, Python, and C# to Delphi using ChatGPT.
MultiDiffusion - Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
pasvulkan - Vulkan header generator, OOP-style API wrapper, framework and prospective Vulkan-based game engine for Object Pascal
stable-diffusion-videos - Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
castle-engine - Cross-platform (desktop, mobile, console) 3D and 2D game engine supporting many asset formats (glTF, X3D, Spine...) and using modern Object Pascal
composer - Official implementation of "Composer: Creative and Controllable Image Synthesis with Composable Conditions"
sd-dynamic-thresholding - Dynamic Thresholding (CFG Scale Fix) for Stable Diffusion (StableSwarmUI, ComfyUI, and Auto WebUI)
safe-latent-diffusion - Official Implementation of Safe Latent Diffusion for Text2Image