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Top 23 text2image Open-Source Projects
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Scout Monitoring
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diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
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PaddleHub
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)
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mmagic
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Pallaidium
Generative AI for the Blender VSE: Text, video or image to video, image and audio in Blender Video Sequence Editor.
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unprompted
Templating language written for Stable Diffusion workflows. Available as an extension for the Automatic1111 WebUI.
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CLIP-Guided-Diffusion
Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab. (by nerdyrodent)
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diffusers-interpret
Diffusers-Interpret 🤗🧨🕵️♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.
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phrame
AI-powered digital picture frame. Generate captivating and unique art from spoken conversations.
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AIConnectors
Unity C# API connections to StableDiffusion (Automatic1111, Stability.ai SDXL, Replicate.com), Dall-E, ChatGPT/ GPT-4, and possibly others in the future.
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infinite-zoom-stable-diffusion
resources for creating Ininite zoom video using Stable Diffiusion, you can use multiple prompts and it is easy to use.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: Show HN: I made an app to use local AI as daily driver | news.ycombinator.com | 2024-02-27* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.
- https://diffusionbee.com/
- https://github.com/comfyanonymous/ComfyUI
- https://github.com/AUTOMATIC1111/stable-diffusion-webui
Project mention: Meta's new AI image generator was trained on 1.1B Instagram and FB photos | news.ycombinator.com | 2023-12-07On Windows, StabilityMatrix (https://github.com/LykosAI/StabilityMatrix) is a very easy way to get any (or all) of those wrappers installed without conflicts.
Project mention: Show HN: Offline sketch to image geneartor in a whiteboard | news.ycombinator.com | 2024-05-26TLDR: Miniconda + Diffusers + Electron + Excalidraw
One of the most important aspects of creating this tool was finding a stable diffusion locally inference solution. There are many solutions available, such as https://github.com/leejet/stable-diffusion.cpp and https://github.com/apple/ml-stable-diffusion. I tested the C++ version, but the inference speed was very slow, and Metal GPU support still had issues (you can find relevant issues in their repo). Ultimately, I decided to use python to run it because PyTorch is mature and MPS support is well-established. And I chose Miniconda, because it can create a small, isolated Python environment to run the program.
The AI model should run in the background so that we can continuously produce images while you draw. We need to find an RPC method to enable communication between the Python process and Electron's Node.js process. The easiest way is to run a Python HTTP server, but the memory usage is too high. We need a more lightweight solution, so I used xmlrpc for memory efficiency, although there might be better alternatives that I'm unaware of. The AI inference part is handled by diffusers, which is great, but I had to apply some custom patches to make it work in this situation. This can be a bit challenging if you're not familiar with Python.
For the frontend, I initially used a low-level canvas library and tried to implement a drawing pad from scratch. However, it had too many details, so I chose a more mature option: Excalidraw. It's fantastic, with the only shortcoming being limited API support.
Finally, I combined all these technologies in Electron, ensuring they work smoothly on both the main process and the renderer process.
Ok, Is DrawingPics free to use?
Project mention: New Kandinsky 2.2 was released. Now with controlnets and code for lora fine-tuning. | /r/StableDiffusion | 2023-07-13
Project mention: 📚 Tutorials & 🎨 AI Art Generation Tool List Mega Thread | /r/AI_Aesthetics | 2023-07-26VQGAN-CLIP
Project mention: Show HN: Shortbread, a web app that helps you create AI comics in minutes | news.ycombinator.com | 2023-10-06Also, VoltaML has a good reference GPU AITemplate SD 1.5 implementation:
https://github.com/VoltaML/voltaML-fast-stable-diffusion/tre...
The speed jump is massive on my desktop GPU, probably even more dramatic on cloud hardware, and it may support some things (weight swapping/lora swapping/resolution changing) better than JAX.
Project mention: Würstchen is here! A game changing, fastest high-resolution image generation model | /r/StableDiffusion | 2023-09-16Get Pallaidium for free here: https://github.com/tin2tin/Pallaidium
Project mention: Unprompted v10 Released: New faceswap features, GPEN support, Civitai shortcode and more! 😊 | /r/StableDiffusion | 2023-10-13I'm pleased to announce the release of Unprompted v10.0.0, the Swiss Army knife extension for A1111. This is a major update that brings a number of new features and improvements, including:
Project mention: Tiny Dream – An Embedded, Header Only, Stable Diffusion C++ Implementation | news.ycombinator.com | 2023-09-26
I built and open-sourced Phrame, a digital picture frame that uses OpenAI's ChatGPT and DALL·E 2 to generate AI art.
text2image discussion
text2image related posts
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📚 Tutorials & 🎨 AI Art Generation Tool List Mega Thread
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I hope that by A1111 is everything fine. Best wishes for great man! In mean time lets, develope Vlad fork
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another UI for Stable Diffusion for Windows and AMD, now with LoRA and Textual Inversions
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Which is your favorite text to image model overall?
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Stable Diffusion Announcement
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Medieval Noir - VQGAN-CLIP - COCO Checkpoint
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Once have access, do you run it on your computer or over the internet on Open-AI's computers?
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A note from our sponsor - Scout Monitoring
www.scoutapm.com | 15 Jun 2024
Index
What are some of the best open-source text2image projects? This list will help you:
Project | Stars | |
---|---|---|
1 | stable-diffusion-webui | 133,415 |
2 | diffusers | 23,519 |
3 | PaddleHub | 12,576 |
4 | mmagic | 6,677 |
5 | StabilityMatrix | 3,119 |
6 | stable-diffusion.cpp | 2,806 |
7 | Kandinsky-2 | 2,710 |
8 | VQGAN-CLIP | 2,563 |
9 | voltaML-fast-stable-diffusion | 957 |
10 | Pallaidium | 837 |
11 | unprompted | 757 |
12 | stable-diffusion-aesthetic-gradients | 703 |
13 | Text2Light | 541 |
14 | CLIP-Guided-Diffusion | 379 |
15 | diffusers-interpret | 259 |
16 | tiny-dream | 245 |
17 | onnx-web | 181 |
18 | StableDiffusionUI | 126 |
19 | phrame | 119 |
20 | yasd-discord-bot | 112 |
21 | vqgan-clip-app | 100 |
22 | AIConnectors | 94 |
23 | infinite-zoom-stable-diffusion | 82 |