Linaqruf
Models by this creator
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animagine-xl-3.0
737
Animagine XL 3.0 is the latest version of the sophisticated open-source anime text-to-image model, building upon the capabilities of its predecessor, Animagine XL 2.0. Developed based on Stable Diffusion XL, this iteration boasts superior image generation with notable improvements in hand anatomy, efficient tag ordering, and enhanced knowledge about anime concepts. Unlike the previous iteration, the model focuses on learning concepts rather than aesthetic. Model Inputs and Outputs Inputs Textual prompts describing the desired anime-style image, with optional tags for quality, rating, and year Outputs High-quality, detailed anime-style images generated from the provided textual prompts Capabilities Animagine XL 3.0 is engineered to generate high-quality anime images from textual prompts. It features enhanced hand anatomy, better concept understanding, and prompt interpretation, making it the most advanced model in its series. The model can create a wide range of anime-themed visuals, from character portraits to dynamic scenes, by leveraging its fine-tuned diffusion process and broad understanding of anime art. What can I use it for? Animagine XL 3.0 is a powerful tool for artists, designers, and enthusiasts who want to create unique and compelling anime-style artwork. The model can be used in a variety of applications, such as: Art and Design**: The model can serve as a source of inspiration and a means to enhance creative processes, enabling the generation of novel anime-themed designs and illustrations. Education**: In educational contexts, Animagine XL 3.0 can be used to develop engaging visual content, assisting in teaching concepts related to art, technology, and media. Entertainment and Media**: The model's ability to generate detailed anime images makes it ideal for use in animation, graphic novels, and other media production, offering a new avenue for storytelling. Research**: Academics and researchers can leverage Animagine XL 3.0 to explore the frontiers of AI-driven art generation, study the intricacies of generative models, and assess the model's capabilities and limitations. Personal Use**: Anime enthusiasts can use Animagine XL 3.0 to bring their imaginative concepts to life, creating personalized artwork based on their favorite genres and styles. Things to try One key aspect of Animagine XL 3.0 is its ability to generate images with a focus on specific anime characters and series. By including the character name and the source series in the prompt, users can create highly relevant and accurate representations of their favorite anime elements. For example, prompts like "1girl, souryuu asuka langley, neon genesis evangelion, solo, upper body, v, smile, looking at viewer, outdoors, night" can produce detailed images of the iconic Evangelion character, Asuka Langley Soryu. Another interesting feature to explore is the model's understanding of aesthetic tags. By incorporating tags like "masterpiece" and "best quality" into the prompt, users can guide the model towards generating images with a higher level of visual appeal and artistic merit. Experimenting with these quality-focused tags can lead to the creation of truly striking and captivating anime-style artwork.
Updated 8/15/2024
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anything-v3.0
700
anything-v3.0 is a high-quality, highly detailed anime-style stable diffusion model created by Linaqruf. It is designed to produce exceptional anime-inspired images with just a few prompts. The model builds upon the Anything series, with the latest version V4.0 offering further improvements. Similar models include Anything V4.5 and SDXL-Lightning, which offer additional capabilities like text-to-image, image-to-image, and inpainting. Model inputs and outputs The anything-v3.0 model is a text-to-image AI system that takes in text prompts and generates corresponding images. It is based on the Stable Diffusion architecture and can be used like other Stable Diffusion models. Inputs Text prompts describing the desired image, such as "1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden" Outputs High-quality, highly detailed anime-style images that match the provided text prompt Capabilities The anything-v3.0 model excels at generating exceptional anime-inspired artwork with just a few prompts. It can produce intricate details, vibrant colors, and cohesive scenes that capture the essence of anime style. The model's capabilities allow for the creation of visually striking and imaginative images. What can I use it for? The anything-v3.0 model is well-suited for a variety of creative and artistic applications. It can be used to generate anime-style artwork for illustrations, character designs, concept art, and more. The model's capabilities also make it useful for visual storytelling, world-building, and immersive experiences. With the provided Gradio web interface, users can easily experiment and generate custom anime-inspired images. Things to try One interesting aspect of the anything-v3.0 model is its ability to incorporate the AbyssOrangeMix2 model, which is known for its high quality. By combining these models, users can explore the integration of different AI-generated elements to create unique and visually appealing compositions. Additionally, experimenting with various Stable Diffusion techniques, such as prompt engineering and image manipulation, can unlock new creative possibilities when using the anything-v3.0 model.
Updated 8/15/2024
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animagine-xl
286
Animagine XL is a high-resolution, latent text-to-image diffusion model. The model has been fine-tuned on a curated dataset of superior-quality anime-style images, using a learning rate of 4e-7 over 27,000 global steps with a batch size of 16. It is derived from the Stable Diffusion XL 1.0 model. Similar models include Animagine XL 2.0, Animagine XL 3.0, and Animagine XL 3.1, all of which build upon the capabilities of the original Animagine XL model. Model inputs and outputs Animagine XL is a text-to-image generative model that can create high-quality anime-styled images from textual prompts. The model takes in a textual prompt as input and generates a corresponding image as output. Inputs Text prompt**: A textual description that describes the desired image, including elements like characters, settings, and artistic styles. Outputs Image**: A high-resolution, anime-styled image generated by the model based on the provided text prompt. Capabilities Animagine XL is capable of generating detailed, anime-inspired images from text prompts. The model can create a wide range of characters, scenes, and visual styles, including common anime tropes like magical elements, fantastical settings, and detailed technical designs. The model's fine-tuning on a curated dataset allows it to produce images with a consistent and appealing aesthetic. What can I use it for? Animagine XL can be used for a variety of creative projects and applications, such as: Anime art and illustration**: The model can be used to generate anime-style artwork, character designs, and illustrations for various media and entertainment projects. Concept art and visual development**: The model can assist in the early stages of creative projects by generating inspirational visual concepts and ideas. Educational and training tools**: The model can be integrated into educational or training applications to help users explore and learn about anime-style art and design. Hobbyist and personal use**: Anime enthusiasts can use the model to create original artwork, explore new character designs, and experiment with different visual styles. Things to try One key feature of Animagine XL is its support for Danbooru tags, which allows users to generate images using a structured, anime-specific prompt format. By using tags like face focus, cute, masterpiece, and 1girl, you can produce highly detailed and aesthetically pleasing anime-style images. Additionally, the model's ability to generate images at a variety of aspect ratios, including non-square resolutions, makes it a versatile tool for creating artwork and content for different platforms and applications.
Updated 5/28/2024
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animagine-xl-2.0
172
Animagine XL 2.0 is an advanced latent text-to-image diffusion model designed to create high-resolution, detailed anime images. It's fine-tuned from Stable Diffusion XL 1.0 using a high-quality anime-style image dataset. This model, an upgrade from Animagine XL 1.0, excels in capturing the diverse and distinct styles of anime art, offering improved image quality and aesthetics. The model is maintained by Linaqruf, who has also developed a collection of LoRA (Low-Rank Adaptation) adapters to customize the aesthetic of generated images. These adapters allow users to create anime-style artwork in a variety of distinctive styles, from the vivid Pastel Style to the intricate Anime Nouveau. Model inputs and outputs Inputs Text prompts**: The model accepts text prompts that describe the desired anime-style image, including details about the character, scene, and artistic style. Outputs High-resolution anime images**: The model generates detailed, anime-inspired images based on the provided text prompts. The output images are high-resolution, typically 1024x1024 pixels or larger. Capabilities Animagine XL 2.0 excels at generating diverse and distinctive anime-style artwork. The model can capture a wide range of anime character designs, from colorful and vibrant to dark and moody. It also demonstrates strong abilities in rendering detailed backgrounds, intricate clothing, and expressive facial features. The inclusion of the LoRA adapters further enhances the model's capabilities, allowing users to tailor the aesthetic of the generated images to their desired style. This flexibility makes Animagine XL 2.0 a valuable tool for anime artists, designers, and enthusiasts who want to create unique and visually striking anime-inspired content. What can I use it for? Animagine XL 2.0 and its accompanying LoRA adapters can be used for a variety of applications, including: Anime character design**: Generate detailed and unique anime character designs for use in artwork, comics, animations, or video games. Anime-style illustrations**: Create stunning anime-inspired illustrations, ranging from character portraits to complex, multi-figure scenes. Anime-themed content creation**: Produce visually appealing anime-style assets for use in various media, such as social media, websites, or marketing materials. Anime fan art**: Generate fan art of popular anime characters and series, allowing fans to explore and share their creativity. By leveraging the model's capabilities, users can streamline their content creation process, experiment with different artistic styles, and bring their anime-inspired visions to life. Things to try One interesting feature of Animagine XL 2.0 is the ability to fine-tune the generated images through the use of the LoRA adapters. By applying different adapters, users can explore a wide range of anime art styles and aesthetics, from the bold and vibrant to the delicate and intricate. Another aspect worth exploring is the model's handling of complex prompts. While the model performs well with detailed, structured prompts, it can also generate interesting results when given more open-ended or abstract prompts. Experimenting with different prompt structures and levels of detail can lead to unexpected and unique anime-style images. Additionally, users may want to explore the model's capabilities in generating dynamic scenes or multi-character compositions. By incorporating elements like action, emotion, or narrative into the prompts, users can push the boundaries of what the model can create, resulting in compelling and visually striking anime-inspired artwork.
Updated 5/28/2024
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hitokomoru-diffusion
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.
Updated 8/15/2024
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anything-v3-1
73
Anything V3.1 is a third-party continuation of a latent diffusion model, Anything V3.0. This model is claimed to be a better version of Anything V3.0 with a fixed VAE model and a fixed CLIP position id key. The CLIP reference was taken from Stable Diffusion V1.5. The VAE was swapped using Kohya's merge-vae script and the CLIP was fixed using Arena's stable-diffusion-model-toolkit webui extensions. Model inputs and outputs Anything V3.1 is a diffusion-based text-to-image generation model. It takes textual prompts as input and generates anime-themed images as output. Inputs Textual prompts describing the desired image, using tags like 1girl, white hair, golden eyes, etc. Negative prompts to guide the model away from undesirable outputs. Outputs High-quality, highly detailed anime-style images based on the provided prompts. Capabilities Anything V3.1 is capable of generating a wide variety of anime-themed images, from characters and scenes to landscapes and environments. It can capture intricate details and aesthetics, making it a useful tool for anime artists, fans, and content creators. What can I use it for? Anything V3.1 can be used to create illustrations, concept art, and other anime-inspired visuals. The model's capabilities can be leveraged for personal projects, fan art, or even commercial applications within the anime and manga industries. Users can experiment with different prompts to unlock a diverse range of artistic possibilities. Things to try Try incorporating aesthetic tags like masterpiece and best quality to guide the model towards generating high-quality, visually appealing images. Experiment with prompt variations, such as adding specific character names or details from your favorite anime series, to see how the model responds. Additionally, explore the model's support for Danbooru tags, which can open up new avenues for image generation.
Updated 8/15/2024
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hitokomoru-diffusion-v2
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.
Updated 8/15/2024
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anime-detailer-xl-lora
47
anime-detailer-xl-lora is a cutting-edge LoRA adapter designed to work alongside the Animagine XL 2.0 model. This unique model specializes in concept modulation, enabling users to adjust the level of detail in generated anime-style images. By manipulating a concept slider, users can create images ranging from highly detailed to more abstract representations. The anime-detailer-xl-lora model was developed by Linaqruf, a prolific creator of anime-themed AI models. It is a LoRA adapter for the Stable Diffusion XL model, which was fine-tuned from the Animagine XL 2.0 model. Model Inputs and Outputs Inputs Text prompts that describe the desired anime-style image Outputs High-quality, detailed anime-style images generated based on the input prompt The level of detail in the generated images can be adjusted using a concept slider Capabilities The anime-detailer-xl-lora model is capable of generating diverse anime-style images with a wide range of detail levels. By manipulating the concept slider, users can create images that are highly detailed, with intricate textures and precise features, or more abstract and stylized. This allows for a great deal of creative flexibility in the types of anime art that can be produced. What can I use it for? The anime-detailer-xl-lora model is a powerful tool for artists, designers, and anime enthusiasts. It can be used to create a variety of anime-themed content, from character designs and illustrations to background environments and fan art. The ability to adjust the level of detail can be particularly useful for generating concept art, storyboards, or visual development assets for animation or video game projects. Additionally, the model's versatility makes it a valuable resource for personal projects, such as creating custom profile pictures, social media content, or digital artwork to share with the anime community. Things to try One interesting aspect of the anime-detailer-xl-lora model is its ability to generate images with varying levels of detail. Experiment with the concept slider to see how it affects the overall style and aesthetics of the generated images. Try starting with a highly detailed result and gradually decrease the slider value to see the transition to more abstract, stylized representations. Additionally, you can experiment with different prompts and prompt engineering techniques to explore the model's capabilities further. Try using specific character names, settings, or genres to see how the model responds and the types of images it can produce.
Updated 9/6/2024
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animagine-xl-3.0-base
42
animagine-xl-3.0-base is the foundational version of the sophisticated anime text-to-image model, Animagine XL 3.0. This base version encompasses the initial two stages of the model's development, focusing on establishing core functionalities and refining key aspects. It lays the groundwork for the full capabilities realized in Animagine XL 3.0. As part of the broader Animagine XL 3.0 project, it employs a two-stage development process rooted in transfer learning. This approach effectively addresses problems in UNet after the first stage of training is finished, such as broken anatomy. Model inputs and outputs Inputs Textual Prompts**: animagine-xl-3.0-base accepts text-based prompts to generate anime-style images. The model is optimized for Danbooru-style tags rather than natural language. Outputs Anime-Style Images**: The model generates high-quality, detailed anime-styled images based on the provided textual prompts. Capabilities animagine-xl-3.0-base is a powerful text-to-image model that can create stunning anime-style artwork. It demonstrates notable improvements in hand anatomy and efficient tag ordering compared to its predecessor, Animagine XL 2.0. The model is designed to lay the groundwork for the advanced features and capabilities seen in the full Animagine XL 3.0 model. What can I use it for? animagine-xl-3.0-base is a valuable tool for artists, designers, and anime enthusiasts looking to create unique and high-quality anime-style visuals. It can be used for a variety of applications, such as: Art and Design**: Generating anime-themed artwork, illustrations, and character designs. Entertainment and Media**: Creating visual content for anime-inspired animations, graphic novels, and other media productions. Personal Use**: Bringing anime-inspired ideas and characters to life through custom image generation. However, this model is not recommended for inference. It is advised to use the full Animagine XL 3.0 model for image generation. Things to try While animagine-xl-3.0-base is not intended for direct inference, users can explore its capabilities by using it as a foundation to build upon. By fine-tuning or adapting this base model, users can potentially unlock additional features and improvements, such as enhanced visual aesthetics, better hand rendering, or more diverse character representations. Additionally, users can experiment with different prompting techniques, such as incorporating Danbooru-style tags or exploring the model's response to various quality and rating modifiers. By understanding the model's strengths and limitations, users can find creative ways to leverage animagine-xl-3.0-base as a stepping stone towards their desired anime-style image generation needs.
Updated 9/6/2024