Sketch-Guided-Stable-Diffusion
DALLE2-pytorch
Sketch-Guided-Stable-Diffusion | DALLE2-pytorch | |
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1 | 65 | |
61 | 10,838 | |
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10.0 | 4.7 | |
over 1 year ago | 6 days ago | |
Python | Python | |
MIT License | MIT License |
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Sketch-Guided-Stable-Diffusion
DALLE2-pytorch
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One year ago I got access to closed beta DALL-E 2.
I was showing people Dalle2 last year and telling them how much of an impact an open source solution was going to have on, well, everything to do with art and design. (At the time Stable Diffusion had not released, not even the leak, and all hopes was on https://github.com/lucidrains/DALLE2-pytorch)
- [Machinelearning] [D] Quelqu'un travaille-t-il sur l'open-sourcing de Dall-E 2 ?
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AMA (Emad here hello)
Stable diffusion is the model, MJ will use a variant and DALL-E is the old version (we have our own implementation from our distinguished fellow Lucidrains here: https://github.com/lucidrains/DALLE2-pytorch)
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An impressionist painting of an floating raccoon god, 4k, digital painting, trending on artstation
Sadly I don't think so. From what I understand the architecture is fixed to 1024x1024 pictures.
- I asked AI to turn P&R characters into muppets..
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Comparison of AI text-to-image generators
The code is open source, the model is not I believe. https://github.com/lucidrains/DALLE2-pytorch
- Protests erupt outside of DALL-E offices after pricing implementation, press photograph
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$15 for 115 “generation increments” Very expensive Beta pricing announcement. Dissapointed
Phil Wang has been fairly prolific at creating open source implementations of these text to image models. For example, here is the dalle-2 repo https://github.com/lucidrains/DALLE2-pytorch
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DALL·E Now Available in Beta
There's already an open-source implementation of DALL-E 2 (https://github.com/lucidrains/DALLE2-pytorch) and a pretrained model for it should be released within this year.
Also true for Google's Imagen, which should be even better than DALLE-2 (and faster) https://github.com/lucidrains/imagen-pytorch.
This is possible because the original research papers behind both DALLE-2 and Imagen were publicly released.
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would love to know what portion of this prompt is not allowed
The paper describing the model is public and has been implemented here, but that's not the hard part. The model likely requires months of compute and dozens of gigabytes of VRAM to train and run, likely costing several hundred thousand dollars.
What are some alternatives?
stable-diffusion-docker - Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.
dalle-mini - DALL·E Mini - Generate images from a text prompt
diffusionmagic - Easy to use Stable diffusion workflows using diffusers
disco-diffusion
min-dalle - min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
storyteller - Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech
DALL-E - PyTorch package for the discrete VAE used for DALL·E.
Anti-DreamBooth - Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)
dalle-2-preview
dalle-starter - Node-based starter application for interacting with Dall-E 3 / Dall-E 2 (OpenAI) API in the browser.
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models