NeuralTextToImage
Diffusion-WebUI
| NeuralTextToImage | Diffusion-WebUI | |
|---|---|---|
| 2 | 4 | |
| 12 | 98 | |
| - | - | |
| 2.3 | 10.0 | |
| 8 months ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
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NeuralTextToImage
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Giveaway of a few of my digital paintings (OC, AI-aided, 1:1)
I don't have the code I use for these in particular public, but the material generation process is based on VQGAN+CLIP: https://github.com/olaviinha/NeuralTextToImage
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"AP3 LIFE" – AI-generated art (no human editing)
I'm not the artist, but yes. Check out /r/bigsleep to get the idea what kind of images are produced by different text prompts. Or just try it yourself.
Diffusion-WebUI
- What is the difference between Samplers? Which do you prefer?
- Diffusion WebUI Colab
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Stance on the NAI leaks?
There are a few Google Colab versions for NAI leaks already set up though I can't vouch for their reliability.
- automatic1111 webui repo
What are some alternatives?
ru-dalle - Generate images from texts. In Russian
NovelAI-Colab - One-click run on Colab for all major models (NovelAI, Stable Diffusion V1.5) [Moved to: https://github.com/acheong08/Diffusion-ColabUI]
blender-colab - Render Blender 4.x scenes with Google Colaboratory
stable-diffusion-chat-bot - A sample chatbot to generate AI images on your laptop / desktop
dl-colab-notebooks - Try out deep learning models online on Google Colab
sd-xy-studies - Examining parameter variation in Stable Diffusion.
gpt-3-simple-tutorial - Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model
stable-diffusion-webui - Stable Diffusion web UI
glide-text2im-colab - Colab notebook for openai/glide-text2im.
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo