‘DALL·E’ directory
See Also
- Gwern
-
Links
- “LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs ”, Schuhmann et al 2021
- “On the Opportunities and Risks of Foundation Models ”, Bommasani et al 2021
- “Decision Transformer: Reinforcement Learning via Sequence Modeling ”, Chen et al 2021
- “Zero-Shot Text-To-Image Generation ”, Ramesh et al 2021
- “Ben Barry ”
- “DALL·E 2: Emerging Content Category Breakdown ”
- “DALL·E 2: Recombinant Art & Design ”
- “DALL·E 2—Unofficial Natural Language Image Editing, Art Critique Survey ”
- “Make-A-Scene: Scene-Based Text-To-Image Generation With Human Priors ”
- “Open-AI’s DALL-E for Large Scale Training in Mesh-Tensorflow. ”
- “Combination of OpenAI GLIDE and Latent Diffusion ”
-
“My-Colab-Experiments/
Simple_ruDALLE_inference_[Supports_v1_0_0].ipynb ” - “Text-To-Image Generation. The Repo for NeurIPS 2021 Paper "CogView: Mastering Text-To-Image Generation via Transformers". ”
- “CLIP Implementation for Russian Language ”
- “Generate Images from Texts. In Russian ”
- “RUDOLPH: One Hyper-Tasking Transformer Can Be Creative As DALL-E and GPT-3 and Smart As CLIP ”
- “A Human-In-The-Loop Workflow for Creating HD Images from Text ”
-
“Kakaobrain/
mindall-E: PyTorch Implementation of a 1.3B Text-To-Image Generation Model Trained on 14 Million Image-Text Pairs ” -
“Minimaxir/
ai-Generated-Pokemon-Rudalle: Python Script to Preprocess Images of All Pokémon to Finetune RuDALL-E ” -
“Neonbjb/
tortoise-Tts: A Multi-Voice TTS System Trained With an Emphasis on Quality ” -
“Openai/
DALL-E: PyTorch Package for the Discrete VAE Used for DALL ” - “Wordalle—A Hugging Face Space ”
- “Imagen Video ”
- “Pokemon AI: Gotta Create’Em All! ”, Eloie 2025
- “Sentence Embeddings Have a Problem, the Reason Sometimes Dall-E2 Fails ”
- “CogView 以文生图 ”
- “This Image Does Not Exist ”
- “MASSIVE 💥 DALL·E 2 ANIME ⚡︎ KEYWORDS + MODIFIERS LIST ★ : Haaaaven ”
- “The Daily Wrong ”
- “A Guide To Asking Robots To Design Stained Glass Windows ”
- “Kakao Brain Unveils Image-Generating AI Model ”
- “What DALL·E 2 Can and Cannot Do ”
- “My Deepfake DALL·E 2 Vacation Photos Passed the Turing Test ”
- “We Asked 100 Humans to Draw the DALL ”
- “AI Art, Explained ”
- Wikipedia
- Miscellaneous
- Bibliography
Gwern
“Research Ideas ”, Gwern 2017
Links
“LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs ”, Schuhmann et al 2021
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
“On the Opportunities and Risks of Foundation Models ”, Bommasani et al 2021
“Decision Transformer: Reinforcement Learning via Sequence Modeling ”, Chen et al 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling
“Zero-Shot Text-To-Image Generation ”, Ramesh et al 2021
“Ben Barry ”
“DALL·E 2: Emerging Content Category Breakdown ”
“DALL·E 2: Recombinant Art & Design ”
“DALL·E 2—Unofficial Natural Language Image Editing, Art Critique Survey ”
DALL·E 2—Unofficial Natural Language Image Editing, Art Critique Survey
“Make-A-Scene: Scene-Based Text-To-Image Generation With Human Priors ”
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
“Open-AI’s DALL-E for Large Scale Training in Mesh-Tensorflow. ”
Open-AI’s DALL-E for large scale training in mesh-tensorflow.
“Combination of OpenAI GLIDE and Latent Diffusion ”
“My-Colab-Experiments/Simple_ruDALLE_inference_[Supports_v1_0_0].ipynb ”
my-colab-experiments/
“Text-To-Image Generation. The Repo for NeurIPS 2021 Paper "CogView: Mastering Text-To-Image Generation via Transformers". ”
“CLIP Implementation for Russian Language ”
“Generate Images from Texts. In Russian ”
“RUDOLPH: One Hyper-Tasking Transformer Can Be Creative As DALL-E and GPT-3 and Smart As CLIP ”
RUDOLPH: One Hyper-Tasking Transformer can be creative as DALL-E and GPT-3 and smart as CLIP
“A Human-In-The-Loop Workflow for Creating HD Images from Text ”
A Human-in-the-Loop workflow for creating HD images from text
“Kakaobrain/mindall-E: PyTorch Implementation of a 1.3B Text-To-Image Generation Model Trained on 14 Million Image-Text Pairs ”
“Minimaxir/ai-Generated-Pokemon-Rudalle: Python Script to Preprocess Images of All Pokémon to Finetune RuDALL-E ”
“Neonbjb/tortoise-Tts: A Multi-Voice TTS System Trained With an Emphasis on Quality ”
neonbjb/
“Openai/DALL-E: PyTorch Package for the Discrete VAE Used for DALL ”
openai/
“Wordalle—A Hugging Face Space ”
“Imagen Video ”
“Pokemon AI: Gotta Create’Em All! ”, Eloie 2025
“Sentence Embeddings Have a Problem, the Reason Sometimes Dall-E2 Fails ”
Sentence Embeddings have a problem, the reason sometimes Dall-E2 fails
“CogView 以文生图 ”
“This Image Does Not Exist ”
“MASSIVE 💥 DALL·E 2 ANIME ⚡︎ KEYWORDS + MODIFIERS LIST ★ : Haaaaven ”
MASSIVE 💥 DALL·E 2 ANIME ⚡︎ KEYWORDS + MODIFIERS LIST ★ : haaaaven
“The Daily Wrong ”
“A Guide To Asking Robots To Design Stained Glass Windows ”
“Kakao Brain Unveils Image-Generating AI Model ”
“What DALL·E 2 Can and Cannot Do ”
What DALL·E 2 can and cannot do
“My Deepfake DALL·E 2 Vacation Photos Passed the Turing Test ”
My deepfake DALL·E 2 vacation photos passed the Turing Test
“We Asked 100 Humans to Draw the DALL ”
We asked 100 humans to draw the DALL
“AI Art, Explained ”
Wikipedia
Miscellaneous
/doc/ai/ nn/ transformer/ gpt/ dall-e/ 2022-ramesh-figure16-dalle2badtextsamplessayingdeeplearning.png : /doc/ai/ nn/ transformer/ gpt/ dall-e/ 2021-ding-figure1-cogviewcherrypickedsamples.png : /doc/ai/ nn/ transformer/ gpt/ dall-e/ 2021-ding-figure5-randomrankedcogviewsamples.png : /doc/ai/ nn/ transformer/ gpt/ dall-e/ 2021-openai-dalle-textpromptexamples.png : /doc/ai/ nn/ transformer/ gpt/ dall-e/ 2021-zhang-figure5-ernievilstyleexamples.png : /doc/ai/ nn/ transformer/ gpt/ dall-e/ 2021-zhang-figure6-ernievilgchinesepoetrygeneratedimages.png : http://dallery.gallery/ wp-content/ uploads/ 2022/ 07/ The-DALL%C2%B7E-2-prompt-book.pdf : https://ai.meta.com/ blog/ greater-creative-control-for-ai-image-generation/ https://colab.research.google.com/ drive/ 1Gg7-c7LrUTNfQ-Fk-BVNCe9kvedZZsAh https://colab.research.google.com/ drive/ 1Tb7J4PvvegWOybPfUubl5O7m5I24CBg5 https://colab.research.google.com/ github/ ouhenio/ minDALL-E_notebook/ blob/ main/ minDALLE.ipynb https://dallery.gallery/ dall-e-ai-guide-faq/ : https://dallery.gallery/ dall-e-prompts-photography-styles/ : https://dallery.gallery/ physical-media-dall-e-ai-prompts : https://habr.com/ ru/ company/ sberbank/ blog/ 671210/ : https://jacobmartins.com/ posts/ how-i-used-dalle2-to-generate-the-logo-for-octosql/ : https://mirror.xyz/ herndondryhurst.eth/ eZG6mucl9fqU897XvJs0vUUMnm5OITpSWN8S-6KWamY : https://ml.berkeley.edu/ blog/ posts/ dalle2/ : https://ml.berkeley.edu/ blog/ posts/ vq-vae/ : https://openai.com/ blog/ dall-e-api-now-available-in-public-beta/ https://publicdomainreview.org/ essay/ chaos-bewitched-moby-dick-and-ai https://simonberens.me/ blog/ dalle-2-vs-10-fiverr-commission : https://www.artstyle.ai/ uncropping-r-art/ : https://www.openbible.info/ labs/ ai-bible-art/ : https://www.reddit.com/ r/ AnimeResearch/ comments/ txvu3a/ anime_x_dalle_2_thread/ : https://www.reddit.com/ r/ MachineLearning/ comments/ qmzy8a/ rudalle_model_is_opensource_p/ : https://www.reddit.com/ r/ MachineLearning/ comments/ vx89nj/ p_dalle_mini_mega_demo_and_production_api/ : https://www.reddit.com/ r/ MediaSynthesis/ comments/ rc9ft8/ nsfw_rudalle_texttoimage_model_finetuned_to/ https://www.reddit.com/ r/ MediaSynthesis/ comments/ rxpz4d/ an_experiment_with_openais_glide_apples_in/ https://www.reddit.com/ r/ bigsleep/ comments/ ql9n81/ new_texttoimage_ai_models_rudalle_example_from/ : https://www.reddit.com/ r/ dalle2/ : https://www.reddit.com/ r/ dalle2/ comments/ 11oiqrb/ classic_anime_characters_made_using_the_new/ : https://www.reddit.com/ r/ dalle2/ comments/ uwb3cz/ the_first_image_in_this_video_was_created_from/ : https://www.reddit.com/ r/ dalle2/ comments/ v1swsh/ how_to_use_edit_mode_aka_inpainting_to_change/ : https://www.reddit.com/ r/ pokemon/ comments/ rgmyxp/ i_trained_an_ai_on_all_the_official_pokemon/ :
Bibliography
https://: “LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs ”,arxiv.org/ abs/ 2111.02114#laion https://: “On the Opportunities and Risks of Foundation Models ”,arxiv.org/ abs/ 2108.07258 https://: “Decision Transformer: Reinforcement Learning via Sequence Modeling ”,sites.google.com/ berkeley.edu/ decision-transformer