Models Zoo
Last updated
Was this helpful?
Last updated
Was this helpful?
kha-white/manga-ocr-baseThis is an Image-to-Text model designed for Optical Character Recognition (OCR), focusing specifically on Japanese manga. It’s built using the Vision Encoder Decoder framework and is robust in handling a wide range of challenges often found in manga, including:
Both vertical and horizontal text.
Text with furigana (small characters).
Text overlaid on images.
A variety of fonts and styles.
Low-quality images.
While its primary use is for manga, it can also function as a general OCR tool for printed Japanese text. This model is implemented in Transformers using PyTorch and has an Apache-2.0 license.
TBA
TBA
TBA
TBA
ByteWave/prompt-generatorThis Text Generation model, developed by ByteWave, is designed to simplify and streamline the process of generating effective text prompts for Large Language Models (LLMs). Built on the open_llama_3b_v2 base model, it allows users—such as content creators, developers, and researchers—to quickly create customizable prompts suited for various LLM tasks.
Key Features:
Easy-to-use interface for prompt generation.
Fast and efficient creation of prompts.
Ability to customize prompts for multiple LLMs.
This generates a tailored prompt for specific tasks, such as creating a medical treatment plan.
Training: Trained on openlm-research/open_llama_3b_v2, the model has 3.43B parameters and uses FP16 tensor type. It was trained on awesome-chatgpt-prompts datasets for prompt generation tasks.
gokaygokay/Flux-Prompt-EnhanceThe Flux Prompt Enhancer is a tool designed to take simple text prompts and transform them into rich, detailed descriptions. Built on the T5 architecture, it specializes in enhancing and elaborating on short prompts, making it useful for generating vivid, creative content with greater depth and clarity.
Key Benefits:
Text Enhancement: Turns basic prompts into highly descriptive and imaginative text, adding details that bring the scene or idea to life.
Versatile: Ideal for writers, artists, or anyone looking to generate more engaging text from simple inputs.
Efficient and Fast: Works quickly to produce detailed content, saving time while increasing creativity.
The model was trained on a specialized dataset to fine-tune its ability to expand prompts and is designed to make text generation easier and more dynamic for non-coders.
alvdansen/littletiniesThe Little Tinies model is a Text-to-Image generator that creates images in a classic hand-drawn cartoon style. Built using Stable Diffusion with LoRA integration, it excels at generating whimsical, illustrative art. The model is perfect for crafting charming scenes, such as tiny witches, wandering girls, and other imaginative characters or creatures.
Key Features:
Classic Cartoon Style: Produces images that look like hand-drawn cartoons, ideal for storybook-like visuals.
Whimsical Themes: Designed for creating childlike and fantastical imagery (e.g., tiny characters, forests, witches).
Research-Only: Available for research purposes, with commercial use requiring permission from the creator.
This model is popular for generating imaginative and cozy cartoon scenes, making it ideal for artists, storytellers, and illustrators.
prompthero/openjourney-v4The OpenJourney V4 model is a Text-to-Image generator trained on over 124,000 Midjourney V4 images. This model leverages Stable Diffusion v1.5 and is designed to create high-quality, artistic images from text prompts, without requiring specific keywords like "mdjrny-v4 style."
Key Features:
Artistic Image Generation: Designed to produce creative and detailed images based on textual descriptions.
Training Details: Trained for 32 hours, over 4 epochs, with 12,400 steps on a large dataset of Midjourney images.
Wide Application: Ideal for use in various creative fields such as digital art, concept design, and visualization.
The model is suitable for users looking to generate stunning visuals in the style inspired by Midjourney, without the need for complex prompts. It is also integrated with popular tools like LoRA and Dreambooth for further customization and enhancement of image outputs.
Flux Minecraft Movie Model: fofr/flux-minecraft-movie
The Flux Minecraft Movie model generates Minecraft-style images based on text prompts. It uses the Diffusers library and was trained to create blocky, pixelated visuals reminiscent of the Minecraft aesthetic, ideal for rendering quirky, animated characters like blocky toads or tigers.
Key Features:
Text-to-Image Generation: Transforms text descriptions into Minecraft-style visuals.
Minecraft-Inspired Aesthetic: Produces blocky, film-like renders using keywords like MNCRFTMOV to trigger image creation.
LoRA Integration: Incorporates LoRA (Low-Rank Adaptation), allowing for customization and fine-tuning of image outputs.
The model is perfect for those looking to create fun, blocky images in a Minecraft-inspired world, useful for creative projects, animations, or artwork within this theme.
multimodalart/vintage-ads-fluxThe Vintage Ads Flux model is a Text-to-Image generator designed to create retro-style advertisements. It is trained on public domain vintage ad imagery and produces creative, nostalgic visuals based on text prompts. By using the trigger phrase “a vintage ad of,” users can generate ads reminiscent of mid-20th-century commercial art, featuring modern themes and brands.
Key Features:
Vintage Ad Aesthetic: Produces images with a classic retro look, perfect for generating nostalgic visuals.
Modern Themes in Retro Style: Transforms contemporary topics (like robots, VR, or tech brands) into vintage ad formats.
Trigger Words: Use "a vintage ad of" to guide the model in creating ad-style images.
Ideal for creating artistic, fun, and retro-themed advertisements, this model is particularly useful for designers, marketers, and content creators looking to blend modern concepts with a vintage aesthetic.
alvdansen/mooniverseThe Mooniverse model is a Text-to-Image generator designed to create surreal, aesthetic visuals. Trained with an emphasis on natural textures and muted tones, the model excels at producing East Asian portraits and surreal imagery, although it can adapt to other styles with specific prompts or by adjusting the LoRA weight.
Key Features:
Surreal Aesthetic: Generates images with a dreamlike, surreal quality across various subjects (e.g., landscapes, portraits, objects).
Natural Textures: Emphasizes organic, textured visuals with a soft, muted color palette.
Portrait Bias: Leans towards creating East Asian portraits but can be customized for other features using detailed prompts.
Trigger the model by using the phrase "surreal style" for highly stylized, imaginative creations. It's ideal for artists, designers, and creators looking for unique, surreal visuals with a refined aesthetic.
alvarobartt/ghibli-characters-flux-loraThe Ghibli Characters Flux LoRA model generates Studio Ghibli-style character illustrations from text prompts. Trained with images inspired by Studio Ghibli’s aesthetic, it blends iconic Ghibli visuals with custom character descriptions to create whimsical, surreal, and detailed art. The model uses FLUX.1-dev as its base and is fine-tuned with LoRA to enhance the stylized output.
Key Features:
Ghibli-Style Art: Produces artwork reminiscent of Studio Ghibli’s hand-drawn animation style.
Customizable Prompts: Create unique characters by specifying features, actions, environments, and atmospheric details.
Non-Commercial License: Available for personal use only, with no commercial use allowed.
Ideal for creating character art in the beloved Ghibli style, this model is perfect for fans, creators, and designers seeking to produce imaginative, animated visuals with a magical touch.
multimodalart/flux-tarot-v1The FLUX Tarot v1 model is a Text-to-Image generator that creates tarot card-style images using the LoRA technique. Trained on the 1920 Raider Waite tarot card set, it allows users to generate creative tarot-style visuals with modern and unique themes. By using specific prompts like “in the style of TOK a trtcrd, tarot style,” users can evoke intricate, symbolic tarot images with surreal and contemporary elements.
Key Features:
Tarot Card Aesthetic: Generates images in the classic tarot card style, combining both traditional and modern subjects.
Creative Flexibility: Users can generate anything from everyday objects (e.g., work cubicles, dogs eating pasta) to futuristic or surreal characters, all in tarot card format.
Public Domain Training: The model was trained on the public domain Raider Waite 1920 tarot dataset.
This model is ideal for artists, designers, and tarot enthusiasts looking to create personalized tarot cards or illustrations with a mix of traditional symbolism and modern themes.
