Stable-Diffusion
Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya LoRA, Kandinsky 2, DeepFloyd IF, Midjourney (by FurkanGozukara)
multidiffusion-upscaler-for-automatic1111
Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0 (by pkuliyi2015)
| Stable-Diffusion | multidiffusion-upscaler-for-automatic1111 | |
|---|---|---|
| 30 | 83 | |
| 1,760 | 4,459 | |
| - | - | |
| 9.8 | 7.8 | |
| 5 days ago | about 1 month ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stable-Diffusion
Posts with mentions or reviews of Stable-Diffusion.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-22.
- Scalable Load Balancing Having Cloud GPU Service Salad Tutorial With Whisper Transcriber Gradio APP
- FLaNK AI-April 22, 2024
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OneTrainer Fine Tuning vs Kohya SS DreamBooth & Huge Research of OneTrainer’s Masked Training
So stay subscribed and open notification bells to not miss : https://www.youtube.com/SECourses
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Finding Best Training Hyper Parameters / Configuration Is Neither Cheap Nor Easy
You can use A6000 GPU on MassedCompute with our template for only 31 cents per hour. Follow instructions here (still WIP) : https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/Tutorials/OneTrainer-Master-SD-1_5-SDXL-Windows-Cloud-Tutorial.md
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Compared Effect Of Image Captioning For SDXL Fine-tuning / DreamBooth Training for a Single Person, 10.3 GB VRAM via OneTrainer
The tutorial will be on our channel : https://www.youtube.com/SECourses
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A New Gold Tutorial For RunPod & Linux Users : How To Use Storage Network Volume In RunPod & Latest Version Of Automatic1111
Patreon exclusive posts index
- SUPIR Full Tutorial + 1 Click 12GB VRAM Windows & RunPod / Linux Installer + Batch Upscale + Comparison With Magnific
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Beware When Buying M2 NVMe SSDs: Netac NV7000, Kioxia Exceria Plus G2, Kingston and Sandisk Compared
Used Writing Speed & Cache Testing Python Script ⤵️ https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/CustomPythonScripts/gen_file.py
- Viral Paper Tested MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
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56 Stable Diffusion And Related Generative AI Tutorials Organized List
Our 1,200+ Stars GitHub Stable Diffusion and other tutorials repo ⤵️ https://github.com/FurkanGozukara/Stable-Diffusion
multidiffusion-upscaler-for-automatic1111
Posts with mentions or reviews of multidiffusion-upscaler-for-automatic1111.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-11.
- 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?
When comparing Stable-Diffusion and multidiffusion-upscaler-for-automatic1111 you can also consider the following projects:
sd-dynamic-thresholding - Dynamic Thresholding (CFG Scale Fix) for Stable Diffusion (StableSwarmUI, ComfyUI, and Auto WebUI)
ultimate-upscale-for-automatic1111
Fooocus - Focus on prompting and generating
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
SUPIR - SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild
ComfyUI_TiledKSampler - Tiled samplers for ComfyUI
caption-upsampling - This repository implements the idea of "caption upsampling" from DALL-E 3 with Zephyr-7B and gathers results with SDXL.
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.
CushyStudio - 🛋 The AI and Generative Art platform for everyone
mixture-of-diffusers - Mixture of Diffusers for scene composition and high resolution image generation
audiocraft - Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
stable-diffusion-webui-two-shot - Latent Couple extension (two shot diffusion port)
Stable-Diffusion vs sd-dynamic-thresholding
multidiffusion-upscaler-for-automatic1111 vs ultimate-upscale-for-automatic1111
Stable-Diffusion vs Fooocus
multidiffusion-upscaler-for-automatic1111 vs automatic
Stable-Diffusion vs SUPIR
multidiffusion-upscaler-for-automatic1111 vs ComfyUI_TiledKSampler
Stable-Diffusion vs caption-upsampling
multidiffusion-upscaler-for-automatic1111 vs Waifu2x-Extension-GUI
Stable-Diffusion vs CushyStudio
multidiffusion-upscaler-for-automatic1111 vs mixture-of-diffusers
Stable-Diffusion vs audiocraft
multidiffusion-upscaler-for-automatic1111 vs stable-diffusion-webui-two-shot