Maintainer: sazyou-roukaku

Total Score


Last updated 5/28/2024


Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

Create account to get full access


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

Model overview

BracingEvoMix is a text-to-image AI model developed by sazyou-roukaku. It is licensed under the CreativeML Open RAIL-M license, which allows for commercial use and sharing of the model as long as certain conditions are met. The model has been trained on a variety of images and appears to have capabilities for generating anime-style, detailed, and stylized images.

Similar models include EimisAnimeDiffusion_1.0v, endlessMix, and cog-a1111-ui, all of which are focused on generating high-quality anime-style images.

Model inputs and outputs


  • Text prompts that describe the desired image, including details about the subject, style, and environment.


  • Photorealistic or stylized images generated based on the input text prompt.


BracingEvoMix appears to be capable of generating a wide range of anime-style images, from detailed character portraits to fantastical scenes. The model seems particularly adept at creating images with vibrant colors, intricate backgrounds, and a sense of depth and perspective.

What can I use it for?

With its ability to generate high-quality, anime-inspired images, BracingEvoMix could be useful for a variety of creative projects, such as:

  • Designing characters and illustrations for anime, manga, or other related media
  • Creating concept art or background art for video games or animations
  • Generating images for use in digital art, graphic design, or social media content

As the model is licensed under the CreativeML Open RAIL-M license, you can use it commercially, share it with others, and even sell the images you generate with it, as long as you follow the terms of the license.

Things to try

One interesting thing to try with BracingEvoMix would be to experiment with different levels of detail and stylization in the prompts. The model seems capable of producing both photorealistic and highly stylized images, so you could play around with finding the right balance for your specific needs.

Another idea would be to try using the model for more fantastical or surreal image generation, leveraging its ability to create detailed and imaginative scenes. Prompts involving magic, otherworldly environments, or mythological creatures could yield some fascinating results.

Overall, BracingEvoMix appears to be a powerful and versatile text-to-image model that could be a valuable tool for a wide range of creative projects.

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




Total Score


The chilled_remix model is a specialized image generation model created by the Hugging Face creator sazyou-roukaku. It is designed to produce high-quality, chilled-out, and stylized images. The model is similar to other models like BracingEvoMix and coreml-ChilloutMix, which also focus on creating visually appealing and relaxed-looking artwork. Model inputs and outputs Inputs Text prompt**: A textual description of the desired image content, including details about the scene, characters, and artistic style. Negative prompt**: A textual description of things to avoid in the generated image, such as low quality, bad anatomy, or realistic elements. Hyperparameters**: Settings like the number of sampling steps, the CFG scale, and the denoising strength, which can be adjusted to control the output. Outputs High-resolution image**: The generated image, which can be up to 768x768 pixels in size and has a chilled-out, stylized aesthetic. Capabilities The chilled_remix model is capable of producing a wide variety of high-quality, artistic images with a relaxed and visually appealing style. It can generate scenes with characters, landscapes, and other elements, all with a distinctive chilled-out look and feel. What can I use it for? The chilled_remix model could be useful for creating concept art, illustrations, or other visually-driven content with a chilled-out aesthetic. It could be particularly well-suited for projects involving relaxing or meditative themes, such as nature scenes, fantasy environments, or character portraits. The model's capabilities could also be leveraged for commercial applications like album artwork, book covers, or social media content. Things to try One interesting aspect of the chilled_remix model is its ability to blend different artistic styles and elements to create a cohesive, chilled-out aesthetic. Experimenting with prompts that combine various visual cues, such as references to specific art movements, media, or subject matter, could lead to unique and unexpected results. Additionally, exploring the model's response to different hyperparameter settings, such as adjusting the CFG scale or denoising strength, could reveal new creative possibilities.

Read more

Updated Invalid Date




Total Score


The SukiAni-mix model is an experimental AI model developed by Vsukiyaki that combines the capabilities of a U-Net and VAE (Variational Autoencoder) to simultaneously output a detailed background and cartoon-like characters. This model is designed to push the boundaries of what is possible with SD1.x-based models, aiming to produce coherent images with a unique aesthetic. The model is built on top of the U-Net architecture, utilizing a hierarchical merging technique to create a balance between the detailed background and stylized character rendering. Unlike a traditional VAE, this model does not require a VAE component, allowing for more flexibility in its usage. Model inputs and outputs Inputs Text prompts that describe the desired image, including details about the scene, characters, and overall style Negative prompts that help the model avoid generating unwanted elements Outputs Highly detailed, photorealistic backgrounds Cartoon-style characters that are seamlessly integrated into the scene Balanced composition and lighting, creating a cohesive and visually appealing image Capabilities The SukiAni-mix model excels at generating images that blend a realistic environment with stylized character elements. The model's ability to maintain coherency and avoid artifacts, even with complex prompts, sets it apart from other models in this domain. Examples of images generated by the SukiAni-mix model showcase a diverse range of scenes, from a girl standing in a back alley to a character gazing at a cityscape from a rooftop. The model's attention to detail and understanding of composition result in visually striking and aesthetically pleasing outputs. What can I use it for? The SukiAni-mix model can be a valuable tool for artists, illustrators, and content creators who are looking to explore a unique blend of realism and stylization in their work. The model's versatility allows for the creation of a wide range of images, from concept art and book covers to social media content and product illustrations. By leveraging the SukiAni-mix model, users can save time and effort in the image creation process, allowing them to focus more on the creative aspects of their projects. The model's ability to generate high-quality, cohesive images can also be beneficial for those in the entertainment industry, such as game developers or animation studios. Things to try One interesting aspect of the SukiAni-mix model is its ability to handle complex prompts without compromising the overall coherency of the generated image. Experimenting with prompts that combine detailed descriptions of the scene, characters, and desired style can help users unlock the full potential of this model. Additionally, users may want to explore the model's performance with different sampling techniques, such as the recommended DPM++ SDE Karras sampler, to find the optimal balance between image quality and generation speed. Adjusting parameters like CFG scale, denoising strength, and hires upscaling can also lead to unique and compelling results.

Read more

Updated Invalid Date



Total Score


SakuraMix is a series of text-to-image AI models developed by natsusakiyomi. The models feature a built-in Variational Autoencoder (VAE) to generate high-quality backgrounds and character details. The latest iteration, SakuraMix-v4, builds on previous versions by incorporating advancements from other related models like HimawariMixs and IrisMix, both created by the same developer. Model inputs and outputs The SakuraMix models take text prompts as input and generate corresponding images. The outputs showcase a distinct 2D-style painting aesthetic with vibrant colors and expressive character depictions. Inputs Text prompts describing the desired image Outputs High-quality 2D-style images aligned with the input prompt Capabilities The SakuraMix models excel at generating detailed, anime-inspired illustrations with a strong focus on character design and background elements. The VAE component allows for the seamless integration of backgrounds and foreground subjects, resulting in cohesive and visually appealing outputs. What can I use it for? The SakuraMix models are well-suited for a variety of creative applications, such as concept art, character design, and the production of illustrations for visual novels, anime, and other 2D-oriented media. The models' ability to generate high-quality, stylized images makes them valuable tools for both professional and amateur artists looking to expand their creative repertoire. Things to try Experiment with different prompt variations to see how the SakuraMix models handle diverse subject matter and styles. Try incorporating specific details like character poses, clothing, and environmental elements to refine the output to your liking. You can also explore the model's capabilities by combining it with other tools, such as upscalers and post-processing techniques, to further enhance the visual quality of the generated images.

Read more

Updated Invalid Date




Total Score


The ShiratakiMix model, created by Vsukiyaki, is a specialized 2D-style painting model that aims to produce images with a distinct 2D aesthetic. This model is part of a family of models, including ShiratakiMix-add-VAE.safetensors, which integrate a Variational Autoencoder (VAE) component. The model has demonstrated impressive results in generating 2D-style artwork, as showcased in the provided gallery samples. The images exhibit a range of stylistic qualities, from vibrant and colorful to more muted and subdued tones. Model inputs and outputs Inputs Textual prompts describing the desired 2D-style image, including elements like characters, scenes, and artistic styles Outputs 2D-style artwork images that match the provided textual prompts Capabilities The ShiratakiMix model excels at generating 2D-style artwork with a wide range of thematic elements. The samples provided showcase its ability to produce images of cute girls in various settings, from outdoor scenes to cozy indoor settings. The model can also handle more complex prompts, like "cute little girl standing in a Mediterranean port town street," resulting in detailed and atmospheric scenes. What can I use it for? The ShiratakiMix model can be a valuable tool for artists and creatives looking to generate 2D-style artwork for a variety of applications. This could include illustrations for publications, concept art for games or animations, or even personal artistic projects. The ability to customize the output through textual prompts allows for a high degree of creative flexibility. Additionally, the model's integration with a Variational Autoencoder (VAE) in the ShiratakiMix-add-VAE.safetensors version provides an opportunity to further fine-tune and optimize the generated imagery to suit specific needs or artistic styles. Things to try One interesting aspect of the ShiratakiMix model is its ability to handle a wide range of thematic elements and settings. Experiment with prompts that combine different genres, such as fantasy, slice-of-life, or even supernatural elements, to see how the model responds and the unique artwork it can generate. Additionally, try incorporating different artistic styles or visual effects into your prompts, such as bold outlines, flat colors, or graphic novel-inspired aesthetics, to further explore the model's capabilities and push the boundaries of 2D-style artwork generation.

Read more

Updated Invalid Date