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List of text-to-image models
General purpose[edit | edit source]
|Stable Diffusion||This is a model that can be used to generate and modify images based on text prompts. It is a Latent Diffusion Model that uses a fixed, pretrained text encoder (OpenCLIP-ViT/H as of 2.1).||openrail++|
|DALL-E||DALL-E is a proprietary text-to-image model. It's notable for having outpainting and filters that explicitly prevent generation of offensive content.||no||Proprietary|
|MidJourney||Midjourney is a proprietary text-to-image model. One of its most prominent features is ability to combine multiple objects into one.||Proprietary|
|HassanBlend||Photorealistic model with emphasis on drawing people with correct anatomy. Explicitly NSFW. Good for generating old people and mixing with other models.||yes||creativeml-openrail-m|
Targeted models[edit | edit source]
Targeted models are trained to draw a specific thing: a certain object or to mimic a certain artist's style.
Style[edit | edit source]
Anime[edit | edit source]
See also: Comparison of anime text-to-image models
|Waifu||Waifu Diffusion is a latent text-to-image diffusion model that has been conditioned on high-quality anime images through fine-tuning.
Based on Stable Diffusion https://github.com/harubaru/waifu-diffusion
|Code: AGPL-3.0 license
Weights: CreativeML Open RAIL-M
|NovelAI||Driven by AI, painlessly construct unique stories, thrilling tales, seductive romances, or just fool around. Anything goes!||Proprietary||AI storyteller||Yes|
|Anything_v3||Welcome to Anything V3 - a latent diffusion model for weebs. This model is intended to produce high-quality, highly detailed anime style with just a few prompts. Like other anime-style Stable Diffusion models, it also supports danbooru tags to generate images.||creativeml-openrail-m||Yes|
|Derrida||Derrida (formerly TrinArt Characters v2) is a stable diffusion anime models that aims to produce pictures of characters with anatomical accuracy, but without explicit content.
Other artistic styles[edit | edit source]
|wikiart-v2||sd-wikiart-v2 is a stable diffusion model that has been fine-tuned on the wikiart dataset to generate artistic images in different style and genres.
https://huggingface.co/valhalla/sd-wikiart-v2 The model uses tags from wikiart website. To get right prompt, go to right painting and copy what you need.
|Abstract Swirls||Generates pretty Junji Ito-ish swirly patterns. Its real power reveals itself when mixed with other models or is used for inpainting.||abstractswirls, long shot, by rutkowski and mucha|
|Beksinsky||the style of the mysterious and amazing artist Zdzisław Beksinski||beksinski style|
|Van_Gogh||The model is trained on frames from the film "Van Gogh. With love, Vincent" — which is made in the style of Van Gogh's drawing, this is the world's first animated feature film, completely painted with oil paints on boards! If you don't like too bluish gamma and yellow faces — in the negative prompt, you need to write something like yellow face, blue. The model is incredible, it draws both people and nature and buildings very well. Since the model is highly artistic, do not raise the CFG Scale high so that the neural network can "fantasize" more, 4-7 should be fine.||no||lvngvncnt|
|DBWayneBarlowe_JM||Model trained on art by Wayne Barlowe. Use religious, demonic oriented prompts.
|BubblyDubbly||https://huggingface.co/Marre-Barre/bubblydubbly||no||art by bubblydubbly|
|Redshift||Model trained on 3D art||no||(redshift style)|
|mo-di-diffusion||moDi-v1-pruned.ckpt||This is the fine-tuned Stable Diffusion model trained on screenshots from a popular animation studio.||no||modern disney|
|classic-anim-diffusion||classicAnim-v1.ckpt||This is the fine-tuned Stable Diffusion model trained on screenshots from a popular animation studio.||no||classic disney style|
|tron-legacy-style||This is a fine-tuned Stable Diffusion model (based on v1.5) trained on screenshots from the film Tron: Legacy (2010).||no||trnlgcy|
|elden-ring-diffusion||https://huggingface.co/nitrosocke/elden-ring-diffusion||elden ring style|
|Bloodborne-Diffusion||This is a Dreamboothed Stable Diffusion model trained on the Bloodborne series Style.
The total dataset is made of 100 pictures, and the training has been done on runawayml 1.5 and the new VAE, with 12k steps (poly LR1e-6). https://huggingface.co/Guizmus/BloodborneDiffusion
|DarkSoulsDiffusion||This is a Dreamboothed Stable Diffusion model trained on the DarkSouls series Style.
The total dataset is made of 100 pictures, and the training has been done on runawayml 1.5 and the new VAE, with 2500 steps (LR1e-6) then 24k more steps (LR1e-7).
The recommended sampling is k_Euler_a or DPM++ 2M Karras on 20 steps, CFGS 7 . https://huggingface.co/Guizmus/DarkSoulsDiffusion
|Beeple||Model generates images in Beeple style.||beeple style|
|sd-db-block-world-rtx||This is the fine-tuned Stable Diffusion model trained on screenshots of Minecraft running in RTX.||BlockWorldRTX|
|Lozhkin||Model trained on psychadelic art of Vasya Lozhkin
|Synthwave||Stable Diffusion model to create images in Synthwave/outrun style, trained using DreamBooth||snthwve style|
|Inkpunk||Finetuned Stable Diffusion model trained on dreambooth. Vaguely inspired by Gorillaz, FLCL, and Yoji Shinkawa.||nvinkpunk|
Object[edit | edit source]
|Endless characters||various||Endless characters is actually a few dozens of models dedicated to portray a member of certain fantasy race. For words of creator:
For years I've hosted websites where people can go and find a suitable avatar/portrait for their roleplaying character, rather that be for Dungeons & Dragons, Ars Magica, Vampire the Masquerade, etc. In the past I've compiled other peoples art and converted them to tokens. With Stable Diffusion this allows me to create portraits and character art with the click of a few buttons. Experimenting with the prompting to see what I can get. I've created a few checkpoints for usage with the Automatic1111 GUI Stable Diffusion build, or any other GUI that allows custom checkpoints. I'll be adding more as I create them.
|Close-up Portrait of _____________, Fantasy, Medieval, Volumetric lighting, concept art, brush stroke style, artstation, trending, highly detailed|
|James Webb Space Telescope||This is a fine-tuned Stable Diffusion model (based on v1.5) trained on images taken by the James Webb Space Telescope, as well as Judy Schmidt. Use the token JWST in your prompts to use the style (e.g., "jwst, green spiral galaxy").
|Microscopic model V1||This is the fine-tuned Stable Diffusion model trained on microscopic images.
|EpicSpaceMachine||Generates space ships, mechanisms and mean photos of tangled paperclips and wires.
Model hosting sites[edit | edit source]