dalle-mini


dalle-mini | dalle-2-preview | |
---|---|---|
3,451 | 61 | |
14,782 | 1,044 | |
0.2% | 0.0% | |
5.2 | 1.8 | |
over 1 year ago | over 2 years ago | |
Python | ||
Apache License 2.0 | - |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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dalle-mini
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Top 3 Open-Source AI Image Generation Projects on GitHub
DALL-E Mini is an open-source alternative to OpenAI’s DALL-E, capable of generating images from textual inputs. Project URL: DALL-E Mini on GitHub
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Getting Started with AWS Landing Zone: Tips for Terraform Setup
Craiyon
- Show HN: Which Animal Shares Your Body Fat Percentage?
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I Tested Over 70 AI Image Services for SEO. These Actually Work
Craiyon: Formerly known as DALL-E Mini, this tool quickly generates images from text prompts and is accessible for casual users.
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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
dalle-2-preview
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Microsoft-backed OpenAI to let users customize ChatGPT | Reuters
We believe that many decisions about our defaults and hard bounds should be made collectively, and while practical implementation is a challenge, we aim to include as many perspectives as possible. As a starting point, we’ve sought external input on our technology in the form of red teaming. We also recently began soliciting public input on AI in education (one particularly important context in which our technology is being deployed).
- OpenAI AI not available for Algeria, gotta love Algeria
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The argument against the use of datasets seems ultimately insincere and pointless
From this OpenAI document:
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Dalle-2 is > 1,000x as dollar efficient as hiring a human illustrator.
It's also of note that you can't sell a game using this method, as Dalle-2's terms of service prevent use in commercial projects. It's hard to justify rate of return considering you can only ever give it away for free, and even in that case there are some uncertain legal elements regarding copyright and the images that are used to train the dataset.
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It's pretty obvious where dalle-2 gets some of their training data from! Anyone else had the Getty Images watermark? Prompt was "man in a suit standing in a fountain with his hair on fire."
On their GitHub https://github.com/openai/dalle-2-preview/blob/main/system-card.md I can only see references to v1.
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“Pinterest” for Dalle-2 images and prompts
"b) Exploration of the bolded part of OpenAI's comment "Each generated image includes a signature in the lower right corner, with the goal of indicating when DALL·E 2 helped generate a certain image." (source)." (source link: https://github.com/openai/dalle-2-preview/blob/main/system-c...)
I feel the DALL-E 2 watermark signature could be a seed or something.
- I’m an outsider to digital art and have a couple questions about A.I created art.
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The AI Art Apocalypse
DALL-E's docs for example mention it can output whole copyrighted logos and characters[1] and understands it's possible to generate human faces that are bear the likeness of those in the training data. We've also seen people recently critique Stable Diffusion's output for attempting to recreate artists' signatures that came from the commercial trained data.
That said by a certain point the kinks will be ironed out and likely skirt around such issues by only incorporating/manipulating just enough to be considered fair use and creative transformation.
[1] "The model can generate known entities including trademarked logos and copyrighted characters." https://github.com/openai/dalle-2-preview/blob/main/system-c...
- Trabalhei no projeto Dall-e, me pergunte qualquer coisa (AMA)
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Official Dalle server: Why “furry art” is a banned phrase
Some types of content were purposely excluded from the training dataset(s) (source).
What are some alternatives?
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
glide-text2im - GLIDE: a diffusion-based text-conditional image synthesis model
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
DALL-E - PyTorch package for the discrete VAE used for DALL·E.
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
hent-AI - Automation of censor bar detection
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text
clip-interrogator - Image to prompt with BLIP and CLIP
devops-exercises - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
disco-diffusion

