DeepFloyd IF is a state-of-the-art AI image generator that is coming soon. In the meantime, try generating images with our other great models!
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Millions of people use NightCafe every month to create, share and discuss AI art. In a few simple steps, you can create images and illustrations to share with your friends.
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DeepFloyd IF is a new AI image generator that achieves state-of-the-art results on numerous image-generation tasks.
Built by the team behind ruDALL-E (the Russian-language version of OpenAI's DALL-E algorithm), inspired by Google's "Imagen", and backed by the company behind Stable Diffusion, DeepFloyd's IF outperforms all of those models.
DeepFloyd IF is particularly good at understanding complex prompts and relationships between objects. The model is also very good at inserting legible text into images - even more so than Stable Diffusion XL. The model can even understand prompts in multiple languages.
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I can't stop looking at everyone's artwork, and coming up with my own! it's been so much fun!— @Itsmetrenton
Come for the DeepFloyd Generator...
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This is fascinating and incredible stuff. I have so much fun with generative art tools, and this is next level!— @makeanything
Frequently Asked Questions about DeepFloyd
The easiest way to create your first image is to use the quick-create option at the top of this page. Simply enter your prompt and start creating images. After creating your first image, you'll be taken to the "Studio" where you can continue creating images using the DeepFloyd generator as well as other models like Stable Diffusion and DALL-E 2.
Once DeepFloyd becomes available, you can try DeepFloyd on NightCafe for free. Use the quick-create option at the top of this page to create your first image, or click "Create" to be taken to the studio where you've got more options and control over the algorithm's parameters.
You can use NightCafe to generate a limited number of DeepFloyd creations for free. Once you run out of image generation credits, you can pay to continue creating, OR you can wait until your credits get refreshed at the end of the day.
DeepFloyd IF uses a modular approach to AI image generation that is very similar to Google's Imagen. DeepFloyd generative art uses a frozen T5 XXL which is a Large Language Model (LLM), a text-to-image diffusion model that generates a 64x64px image, then two super-resolution diffusion models that upscale the image to 256x256px and then 1024x1024px.
DeepFloyd have trained 3 different models for DeepFloyd. A small model with 400 million parameters, a larger model with 900 million parameters, and a MUCH larger model with 4.3 Billion parameters.
Yes, DeepFloyd uses a different architecture to Stable Diffusion. There are several key differences between the models. First, Stable Diffusion works in latent space while DeepFloyd IF works in pixel space. Second, Stable Diffusion uses a frozen CLIP model while DeepFloyd IF uses a Large Language Model (LLM) instead. Finally, Stable Diffusion consists of a single diffusion process, while DeepFloyd IF is modular and uses multiple diffusion processes to generate images from a prompt.
It's yet to be officially confirmed, but it seems as though "IF" is a tribute to the Pink Floyd song of the same name. The DeepFloyd Twitter and Instagram accounts both include a text snippet that is a play on the lyrics from that song.
"IF" is the name of an algorithm created by a research group called "DeepFloyd". DeepFloyd is largely made up of the same researchers behind ruDALL-E - the Russian language DALL-E replica. DeepFloyd is backed by Stability AI, the company behind Stable Diffusion.
Due to the size of the Large Language Model included in the architecture, IF is particularly good at understanding complex prompts and even spatial relationships described in the prompt. It is also very good at generating legible and correctly-spelled text in images, and the text encoder can even understand prompts in multiple languages.
DeepFloyd IF was trained on an English-only subset of the LAION 5B dataset that was further filtered to only include images with an aesthetic score of 4.5 or higher. The resulting data set was about 1.2 Billion images.
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Yes! As long as you own (or have permission to use) the original assets, we transfer any Copyright assignment to you - the creator. Please check the Copyright and license laws in your own country to confirm. Copyright laws for AI-generated art are still evolving, and some jurisdictions will not grant any Copyright ownership at all.
State of the art
DeepFloyd IF has achieved state-of-the-art performance on standardised image generation tests like MS COCO.
NightCafe also hosts other image generation algorithms like Stable Diffusion models, DALL-E 2, and older (but still fun) algorithms like VQGAN+CLIP and CLIP-Guided Diffusion.
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