Baka-Diffusion

Maintainer: Hosioka

Total Score

93

Last updated 5/28/2024

🧠

PropertyValue
Run this modelRun on HuggingFace
API specView on HuggingFace
Github linkNo Github link provided
Paper linkNo paper link provided

Create account to get full access

or

If you already have an account, we'll log you in

Model overview

Baka-Diffusion is a latent diffusion model that has been fine-tuned and modified to push the limits of Stable Diffusion 1.x models. It uses the Danbooru tagging system and is designed to be compatible with various LoRA and LyCORIS models. The model is available in two variants - Baka-Diffusion[General] and Baka-Diffusion[S3D].

The Baka-Diffusion[General] variant was created as a "blank canvas" model, aiming to be compatible with most LoRA/LyCORIS models while maintaining coherency and outperforming the [S3D] variant. It uses various inference tricks to improve issues like color burn and stability at higher CFG scales.

The Baka-Diffusion[S3D] variant is designed to bring a subtle 3D textured look and mimic natural lighting, diverging from the typical anime-style lighting. It works well with low rank networks like LoRA and LyCORIS, and is optimized for higher resolutions like 600x896.

Model inputs and outputs

Inputs

  • Textual prompts: The model accepts text prompts that describe the desired image, using the Danbooru tagging system.
  • Negative prompts: The model also accepts negative prompts to exclude certain undesirable elements from the generated image.

Outputs

  • Images: The model generates high-quality anime-style images based on the provided textual prompts.

Capabilities

The Baka-Diffusion model excels at generating detailed, coherent anime-style images. It is particularly well-suited for creating characters and scenes with a natural, 3D-like appearance. The model's compatibility with LoRA and LyCORIS models allows for further customization and style mixing.

What can I use it for?

Baka-Diffusion can be used as a powerful tool for creating anime-inspired artwork and illustrations. Its versatility makes it suitable for a wide range of projects, from character design to background creation. The model's ability to generate images with a subtle 3D effect can be particularly useful for creating immersive and visually engaging scenes.

Things to try

One interesting aspect of Baka-Diffusion is the use of inference tricks, such as leveraging textual inversion, to improve the model's performance and coherency. Experimenting with different textual inversion models or creating your own can be a great way to explore the capabilities of this AI system.

Additionally, combining Baka-Diffusion with other LoRA or LyCORIS models can lead to unique and unexpected results, allowing you to blend styles and create truly distinctive artwork.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

Related Models

hitokomoru-diffusion

Linaqruf

Total Score

78

hitokomoru-diffusion is a latent diffusion model that has been trained on Japanese Artist artwork, /Hitokomoru. The current model has been fine-tuned with a learning rate of 2.0e-6 for 20000 training steps/80 Epochs on 255 images collected from Danbooru. The model is trained using NovelAI Aspect Ratio Bucketing Tool so that it can be trained at non-square resolutions. Like other anime-style Stable Diffusion models, it also supports Danbooru tags to generate images. There are 4 variations of this model available, trained for different numbers of steps ranging from 5,000 to 20,000. Similar models include the hitokomoru-diffusion-v2 model, which is a continuation of this model fine-tuned from Anything V3.0, and the cool-japan-diffusion-2-1-0 model, which is a Stable Diffusion v2 model focused on Japanese art. Model inputs and outputs Inputs Text prompt**: A text description of the desired image to generate, which can include Danbooru tags like "1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden". Outputs Generated image**: An image generated based on the input text prompt. Capabilities The hitokomoru-diffusion model is able to generate high-quality anime-style artwork with a focus on Japanese artistic styles. The model is particularly skilled at rendering details like hair, eyes, and natural environments. Example images showcase the model's ability to generate a variety of characters and scenes, from portraits to full-body illustrations. What can I use it for? You can use the hitokomoru-diffusion model to generate anime-inspired artwork for a variety of purposes, such as illustrations, character designs, or concept art. The model's ability to work with Danbooru tags makes it a flexible tool for creating images based on specific visual styles or themes. Some potential use cases include: Generating artwork for visual novels, manga, or anime-inspired media Creating character designs or concept art for games or other creative projects Experimenting with different artistic styles and aesthetics within the anime genre Things to try One interesting aspect of the hitokomoru-diffusion model is its support for training at non-square resolutions using the NovelAI Aspect Ratio Bucketing Tool. This allows the model to generate images with a wider range of aspect ratios, which can be useful for creating artwork intended for specific formats or platforms. Additionally, the model's ability to work with Danbooru tags provides opportunities for experimentation and fine-tuning. You could try incorporating different tags or tag combinations to see how they influence the generated output, or explore the model's capabilities for generating more complex scenes and compositions.

Read more

Updated Invalid Date

👨‍🏫

hitokomoru-diffusion-v2

Linaqruf

Total Score

57

The hitokomoru-diffusion-v2 is a latent diffusion model fine-tuned from the waifu-diffusion-1-4 model. The model was trained on 257 artworks from the Japanese artist Hitokomoru using a learning rate of 2.0e-6 for 15,000 training steps. This model is a continuation of the previous hitokomoru-diffusion model, which was fine-tuned from the Anything V3.0 model. Model inputs and outputs The hitokomoru-diffusion-v2 model is a text-to-image generation model that can generate images based on textual prompts. The model supports the use of Danbooru tags to influence the generation of the images. Inputs Text prompts**: The model takes in textual prompts that describe the desired image, such as "1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden". Outputs Generated images**: The model outputs high-quality, detailed anime-style images that match the provided text prompts. Capabilities The hitokomoru-diffusion-v2 model is capable of generating a wide variety of anime-style images, including portraits, landscapes, and scenes with detailed elements. The model performs well at capturing the aesthetic and style of the Hitokomoru artist's work, producing images with a similar level of quality and attention to detail. What can I use it for? The hitokomoru-diffusion-v2 model can be used for a variety of creative and entertainment purposes, such as generating character designs, illustrations, and concept art. The model's ability to produce high-quality, detailed anime-style images makes it a useful tool for artists, designers, and hobbyists who are interested in creating original anime-inspired content. Things to try One interesting thing to try with the hitokomoru-diffusion-v2 model is experimenting with the use of Danbooru tags in the input prompts. The model has been trained to respond to these tags, which can allow you to generate images with specific elements, such as character features, clothing, and environmental details. Additionally, you may want to try using the model in combination with other tools, such as the Automatic1111's Stable Diffusion Webui or the diffusers library, to explore the full capabilities of the model.

Read more

Updated Invalid Date

🎲

waifu-diffusion

hakurei

Total Score

2.4K

waifu-diffusion is a latent text-to-image diffusion model that has been fine-tuned on high-quality anime images. It was developed by the creator hakurei. Similar models include cog-a1111-ui, a collection of anime stable diffusion models, stable-diffusion-inpainting for filling in masked parts of images, and masactrl-stable-diffusion-v1-4 for editing real or generated images. Model inputs and outputs The waifu-diffusion model takes textual prompts as input and generates corresponding anime-style images. The input prompts can describe a wide range of subjects, characters, and scenes, and the model will attempt to render them in a unique anime aesthetic. Inputs Textual prompts describing the desired image Outputs Generated anime-style images corresponding to the input prompts Capabilities waifu-diffusion can generate a variety of anime-inspired images based on text prompts. It is capable of rendering detailed characters, scenes, and environments in a consistent anime art style. The model has been trained on a large dataset of high-quality anime images, allowing it to capture the nuances and visual conventions of the anime genre. What can I use it for? The waifu-diffusion model can be used for a variety of creative and entertainment purposes. It can serve as a generative art assistant, allowing users to create unique anime-style illustrations and artworks. The model could also be used in the development of anime-themed games, animations, or other multimedia projects. Additionally, the model could be utilized for personal hobbies or professional creative work involving anime-inspired visual content. Things to try With waifu-diffusion, you can experiment with a wide range of text prompts to generate diverse anime-style images. Try mixing and matching different elements like characters, settings, and moods to see the model's versatility. You can also explore the model's capabilities by providing more detailed or specific prompts, such as including references to particular anime tropes or visual styles.

Read more

Updated Invalid Date

🚀

Cyberpunk-Anime-Diffusion

DGSpitzer

Total Score

539

The Cyberpunk-Anime-Diffusion model is a latent diffusion model fine-tuned by DGSpitzer on a dataset of anime images to generate cyberpunk-style anime characters. It is based on the Waifu Diffusion v1.3 model, which was fine-tuned on the Stable Diffusion v1.5 model. The model produces detailed, high-quality anime-style images with a cyberpunk aesthetic. This model can be compared to similar models like Baka-Diffusion by Hosioka, which also focuses on generating anime-style images, and EimisAnimeDiffusion_1.0v by eimiss, which is trained on high-quality anime images. The Cyberpunk-Anime-Diffusion model stands out with its specific cyberpunk theme and detailed, high-quality outputs. Model inputs and outputs Inputs Text prompts describing the desired image, including details about the cyberpunk and anime style Optional: An existing image to use as a starting point for image-to-image generation Outputs High-quality, detailed anime-style images with a cyberpunk aesthetic The model can generate full scenes and portraits of anime characters in a cyberpunk setting Capabilities The Cyberpunk-Anime-Diffusion model excels at generating detailed, high-quality anime-style images with a distinct cyberpunk flair. It can produce a wide range of scenes and characters, from futuristic cityscapes to portraits of cyberpunk-inspired anime girls. The model's attention to detail and ability to capture the unique cyberpunk aesthetic make it a powerful tool for artists and creators looking to explore this genre. What can I use it for? The Cyberpunk-Anime-Diffusion model can be used for a variety of creative projects, from generating custom artwork and illustrations to designing characters and environments for anime-inspired stories, games, or films. Its ability to capture the cyberpunk aesthetic while maintaining the distinct look and feel of anime makes it a versatile tool for artists and creators working in this genre. Some potential use cases for the model include: Generating concept art and illustrations for cyberpunk-themed anime or manga Designing characters and environments for cyberpunk-inspired video games or animated series Creating unique, high-quality images for use in digital art, social media, or other online content Things to try One interesting aspect of the Cyberpunk-Anime-Diffusion model is its ability to seamlessly blend the cyberpunk and anime genres. Experiment with different prompts that play with this fusion, such as "a beautiful, detailed cyberpunk anime girl in the neon-lit streets of a futuristic city" or "a cyberpunk mecha with intricate mechanical designs and anime-style proportions." You can also try using the model for image-to-image generation, starting with an existing anime-style image and prompting the model to transform it into a cyberpunk-inspired version. This can help you explore the limits of the model's capabilities and uncover unique visual combinations. Additionally, consider experimenting with different sampling methods and hyperparameter settings to see how they affect the model's outputs. The provided Colab notebook and online demo are great places to start exploring the model's capabilities and customizing your prompts.

Read more

Updated Invalid Date