mindall-e
dalle-mini
| mindall-e | dalle-mini | |
|---|---|---|
| 8 | 3,446 | |
| 630 | 14,649 | |
| -0.2% | - | |
| 0.0 | 5.2 | |
| almost 2 years ago | 6 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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mindall-e
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Which is your favorite text to image model overall?
Runner-ups are Craiyon (for being more "creative" than SD), Disco Diffusion, minDALL-E, and CLIP Guided Diffusion.
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minDALL-E on Conceptual Captions
minDALL-E at replicate.com. (Found here.)
GitHub: https://github.com/kakaobrain/minDALL-E Colab demo: https://colab.research.google.com/drive/1Gg7-c7LrUTNfQ-Fk-BVNCe9kvedZZsAh?usp=sharing
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We got openAI's DALL-E
For those wondering, this is minDALL-E as u/DEATH_STAR_EXTRACTOR mentioned
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[P] minDALL-E: PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs
Hello. I introduce an open source project, which released the checkpoint of the text-to-image generation model, DALL-E. Link: https://github.com/kakaobrain/minDALL-E
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Release: 602M-parameter CLIP-conditioned diffusion model trained on Conceptual 12M (v-diffusion-pytorch)
See also the much chonkier minDALL-E: https://github.com/kakaobrain/minDALL-E Wonder which one is better? Diffusion models are pretty good with CLIP.
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Kakao Brain releases 1.3 billion parameter text-to-image model minDALL-E. Details in a comment. Example: "a Christmas tree".
According to its GitHub repo, minDALL-E was trained on 14 million image+text pairs from the Conceptual Captions and Conceptual Captions 12M datasets.
dalle-mini
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Mini-Gemini: Mining the Potential of Multi-Modality Vision Language Models
Mini-Gemini is a bit of a confusing name.
Reminds me of how DALL·E Mini came out three years ago and eventually had to rename itself to Craiyon https://github.com/borisdayma/dalle-mini
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New Baby Kitten, what should i Name her?
I wouldnt consider Craiyon to be high tier equipment
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Annual meatball harvest in southern Italy. Mamma mia. 👌🤌
Made with : https://www.craiyon.com/
- Taylor Swift holding up a novel and reading it aloud in a beautiful library while standing behind a lectern #craiyon
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AI Eevee
AI Site
- Ai art The Thing
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Never underestimate a droid: robots gather at AI for Good summit in Geneva
https://www.craiyon.com/ try it, and it's not even that good a text to image generator.
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So simple, yet I can't get the prompt. Any Idea?
For example used just your prompt on Craiyon , guess you can try on replicate the free sd demos for example.
- Pedi para uma IA genérica fazer uma foto do Fernando Diniz, estes foram os resultados
- MADNESS AI ART
What are some alternatives?
disco-diffusion
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
dalle-2-preview
artroom-stable-diffusion
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
stable-diffusion - A latent text-to-image diffusion model
dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
imagen-pytorch - Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
hent-AI - Automation of censor bar detection