CLIP samples tag

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See Also
Links
Miscellaneous

Links

“The New CLIP Adversarial Examples Are Partially from the Use-mention Distinction. CLIP Was Trained to Predict Which Caption from a List Matches an Image. It Makes Sense That a Picture of an Apple With a Large ‘IPod’ Label Would Be Captioned With ‘IPod’, Not ‘Granny Smith’!”

“The new CLIP adversarial examples are partially from the use-mention distinction. CLIP was trained to predict which caption from a list matches an image. It makes sense that a picture of an apple with a large ‘iPod’ label would be captioned with ‘iPod’, not ‘Granny Smith’!”

“Here Are Some GLIDE Demo Prompts That I Ran With the New 1.45B Parameter Latent Diffusion Model from CompVis (https://github.com/CompVis/latent-diffusion):”A Hedgehog Using a Calculator” · “A Corgi Wearing a Red Bowtie and a Purple Party Hat” · “Robots Meditating in a Vipassana Retreat” · “A Fall Landscape With a Small Cottage next to a Lake” ”

“Here are some GLIDE demo prompts that I ran with the new 1.45B parameter latent diffusion model from CompVis (https://github.com/CompVis/latent-diffusion): “a hedgehog using a calculator” · “a corgi wearing a red bowtie and a purple party hat” · “robots meditating in a Vipassana retreat” · “a fall landscape with a small cottage next to a lake” ”

“This Is Great! Now That the Model Can Be Used in PyTorch, I’ve Starting Playing With @AydaoAI’s Anime StyleGAN Directly Guided by CLIP. Starting Slow by Searching for Asuka by Name in the Latent Space.”

“This is great! Now that the model can be used in PyTorch, I've starting playing with @AydaoAI's anime StyleGAN directly guided by CLIP. Starting slow by searching for Asuka by name in the latent space.”

“Here’s a Link to My Colab If You’d like to Give It a Go Yourself. This Codebase Builds off of Previous Work from Many People including @advadnoun @RiversHaveWings @NerdyRodent as well as ClipDraw from @kvfrans @crosslabstokyo @err_more and @okw”

“Here's a link to my colab if you'd like to give it a go yourself. This codebase builds off of previous work from many people including @advadnoun @RiversHaveWings @NerdyRodent as well as ClipDraw from @kvfrans @crosslabstokyo @err_more and @okw”

“Here’s What a Few Years of Progress on Text-to-image Generation Looks Like, One Prompt at a Time.”Frank Sinatra As a Purple Alien in Surrealist Style”: 1. AttnGAN (2018) · 2. CLIP+VQGAN (2020) · 3. CLIP+Diffusion (2021) · 4. DALL·E 2 (2022)”

“Here’s what a few years of progress on text-to-image generation looks like, one prompt at a time. "Frank Sinatra as a purple alien in surrealist style": 1. AttnGAN (2018) · 2. CLIP+VQGAN (2020) · 3. CLIP+Diffusion (2021) · 4. DALL·E 2 (2022)”

“CLIP + StyleGAN + #mylittlepony A Thread 🧵 Starting With @ElvisPresley ‘’A Pony That Looks like Elvis Presley’’”

“CLIP + StyleGAN + #mylittlepony A thread 🧵 starting with @ElvisPresley ''A pony that looks like Elvis Presley''”

“I Added #CLIP to My Image Labeling Tool and Have Now Full Text Search over My Various Collections. Here Are Potato”

“I added #CLIP to my image labeling tool and have now full text search over my various collections. Here are potato”

Miscellaneous

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