SUPIR
Stable-Diffusion
| SUPIR | Stable-Diffusion | |
|---|---|---|
| 3 | 30 | |
| 3,458 | 1,760 | |
| - | - | |
| 7.1 | 9.8 | |
| 27 days ago | 4 days ago | |
| Python | Jupyter Notebook | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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.
SUPIR
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Compressing Images with Neural Networks
Current SOTA open source is I believe SUPIR (Example - https://replicate.com/p/okgiybdbnlcpu23suvqq6lufze), but it needs a lot of VRAM, or you can run it through replicate, or here's the repo (https://github.com/Fanghua-Yu/SUPIR)
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SUPIR Full Tutorial + 1 Click 12GB VRAM Windows & RunPod / Linux Installer + Batch Upscale + Comparison With Magnific
Original repo of SUPIR: https://github.com/Fanghua-Yu/SUPIR
- FLaNK Stack 05 Feb 2024
Stable-Diffusion
- 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
What are some alternatives?
Graal - GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀
sd-dynamic-thresholding - Dynamic Thresholding (CFG Scale Fix) for Stable Diffusion (StableSwarmUI, ComfyUI, and Auto WebUI)
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
Fooocus - Focus on prompting and generating
openvino - OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
multidiffusion-upscaler-for-automatic1111 - Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0
StableSR - Exploiting Diffusion Prior for Real-World Image Super-Resolution
caption-upsampling - This repository implements the idea of "caption upsampling" from DALL-E 3 with Zephyr-7B and gathers results with SDXL.
DeepCache - [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
CushyStudio - 🛋 The AI and Generative Art platform for everyone
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.
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models