Hakurei
Models by this creator
🎲
waifu-diffusion
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.
Updated 5/28/2024
🏷️
waifu-diffusion-v1-4
1.1K
waifu-diffusion-v1-4 is a latent text-to-image diffusion model that has been fine-tuned on high-quality anime images by the maintainer hakurei. Similar models like waifu-diffusion, waifu-diffusion-xl, and waifu-diffusion-v1-3 have also been developed by the same team to create anime-style artwork. Model inputs and outputs The waifu-diffusion-v1-4 model takes text prompts as input and generates high-quality anime-style images as output. The text prompts can describe various elements like characters, scenes, and styles, which the model then translates into visuals. Inputs Text prompt**: A natural language description of the desired image, including details about the subject, style, and setting. Outputs Image**: A high-resolution, anime-style image generated based on the input text prompt. Capabilities The waifu-diffusion-v1-4 model is capable of generating a wide range of anime-inspired artwork, from portraits of characters to detailed scenes and environments. The model has been trained to capture the distinct visual style and aesthetic of anime, producing images with vibrant colors, clean lines, and a high level of detail. What can I use it for? This model can be used for a variety of entertainment and creative purposes, such as: Generating artwork for visual novels, anime, and other digital media Creating custom character designs and illustrations Experimenting with different artistic styles and compositions Enhancing existing anime-style artwork through text-guided refinement The model is open-access and available to all, with a CreativeML OpenRAIL-M license that allows for commercial and non-commercial use, as long as the content generated is not harmful or illegal. Things to try One interesting aspect of the waifu-diffusion-v1-4 model is its ability to capture subtle details and nuances in the anime style. Try experimenting with prompts that focus on specific elements like hair, clothing, or facial expressions to see how the model responds. You can also try combining the model with other techniques, such as Textual Inversion or FreeU, to further refine and enhance the generated outputs.
Updated 5/28/2024
🔍
waifu-diffusion-v1-3
596
The waifu-diffusion-v1-3 model is a latent text-to-image diffusion model that has been fine-tuned on high-quality anime images. It was originally based on the Stable Diffusion 1.4 model, which was trained on the LAION2B-en dataset. The current waifu-diffusion-v1-3 model has been further fine-tuned for 10 epochs on 680k anime-styled images. Similar models include the waifu-diffusion model, which is a previous version of the waifu-diffusion-v1-3 model, as well as the Plat Diffusion, Baka-Diffusion, and EimisAnimeDiffusion_1.0v models, all of which are anime-focused text-to-image diffusion models. Model inputs and outputs Inputs Text prompts**: The model takes in text prompts that describe the desired image, such as "1girl, aqua eyes, baseball cap, blonde hair, closed mouth, earrings, green background, hat, hoop earrings, jewelry, looking at viewer, shirt, short hair, simple background, solo, upper body, yellow shirt". Outputs Images**: The model outputs high-quality, detailed images that match the provided text prompt. The generated images capture the specified visual elements like the character, clothing, and background. Capabilities The waifu-diffusion-v1-3 model excels at generating anime-styled images with high fidelity and intricate details. It can produce a wide range of characters, scenes, and settings, from portraits of individual girls to complex fantasy landscapes. The model's fine-tuning on a large dataset of anime art allows it to capture the unique stylistic elements of the anime aesthetic, such as vibrant colors, expressive facial features, and detailed clothing and accessories. What can I use it for? The waifu-diffusion-v1-3 model can be used for a variety of entertainment and creative applications, such as generating character designs, illustrations, and concept art for anime-inspired projects. It could be particularly useful for artists, designers, and content creators looking to quickly and easily produce high-quality anime-style visuals. Things to try One interesting aspect of the waifu-diffusion-v1-3 model is its ability to generate detailed and cohesive scenes, beyond just individual character portraits. Try experimenting with prompts that incorporate complex backgrounds, environments, and storytelling elements to see what kinds of immersive, anime-inspired worlds the model can create. Additionally, the model may respond well to prompts that combine anime-style elements with other genres or themes, allowing you to explore the boundaries of the anime aesthetic.
Updated 5/27/2024
⛏️
waifu-diffusion-xl
145
waifu-diffusion-xl is a latent text-to-image diffusion model that has been conditioned on high-quality anime images through fine-tuning StabilityAI's SDXL 0.9 model. It was developed by the maintainer hakurei. The model can generate anime-style images based on textual descriptions, building upon the capabilities of earlier waifu-diffusion models. Similar models include the waifu-diffusion and waifu-diffusion-v1-3 models, which also focus on generating anime-style imagery. The Baka-Diffusion model by Hosioka is another related project that aims to push the boundaries of SD1.x-based models. Model inputs and outputs Inputs Text prompt**: A textual description of the desired anime-style image, such as "1girl, aqua eyes, baseball cap, blonde hair, closed mouth, earrings, green background, hat, hoop earrings, jewelry, looking at viewer, shirt, short hair, simple background, solo, upper body, yellow shirt". Outputs Generated image**: An anime-style image that matches the input text prompt, produced through the diffusion process. Capabilities waifu-diffusion-xl can generate high-quality anime-inspired images from text prompts, leveraging the fine-tuning on a large dataset of anime images. The model is capable of producing a wide variety of anime-style characters, scenes, and visual styles, with a focus on aesthetic appeal. What can I use it for? The waifu-diffusion-xl model can be used for various entertainment and creative purposes, such as generating anime-style artwork, character designs, and illustrations. It can serve as a generative art assistant, allowing users to explore and experiment with different visual concepts based on textual descriptions. Things to try One interesting aspect of waifu-diffusion-xl is its ability to capture the nuances of anime-style art, such as character expressions, clothing, and backgrounds. Users can try experimenting with more detailed or specific prompts to see how the model handles different visual elements and styles. Additionally, combining waifu-diffusion-xl with other techniques, such as textual inversion or FreeU, can lead to further refinements and enhancements in the generated images.
Updated 5/28/2024
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artstation-diffusion
94
The artstation-diffusion model is a latent text-to-image diffusion model developed by hakurei that has been fine-tuned on high-quality Artstation images. This model uses aspect ratio bucketing during fine-tuning, allowing it to generate different aspect ratios very well. Similar models like dreamlike-diffusion-1.0 and cool-japan-diffusion-2-1-0 have also been fine-tuned on high-quality art datasets to specialize in particular styles. Model inputs and outputs The artstation-diffusion model takes text prompts as input and generates corresponding images. The text prompts can describe a wide variety of subjects, styles, and scenes, and the model will attempt to render an image matching the description. Inputs Text prompt**: A description of the desired image, such as "knight, full body study, concept art, atmospheric". Outputs Generated image**: A 512x512 pixel image that visually represents the input text prompt. Capabilities The artstation-diffusion model is adept at generating high-quality, detailed images of a wide range of subjects in various artistic styles. It performs especially well on prompts related to fantasy, concept art, and atmospheric scenes. The model can handle different aspect ratios very effectively due to the aspect ratio bucketing used during training. What can I use it for? The artstation-diffusion model can be used for entertainment and creative purposes, such as generating concept art, character designs, and imaginative scenes. It could be incorporated into generative art tools or platforms to allow users to create unique, AI-generated images. The open-source nature of the model also makes it accessible for research into areas like image generation, AI safety, and creative AI applications. Things to try One interesting aspect of the artstation-diffusion model is its ability to handle different aspect ratios. Try experimenting with prompts that specify landscape (e.g. 3:2, 16:9) or portrait (e.g. 2:3, 9:16) orientations to see how the model responds. You can also try combining the model with other techniques like classifier-free guidance to further improve the generated image quality and coherence.
Updated 5/28/2024
👁️
lit-6B
63
lit-6B is a GPT-J 6B model fine-tuned on a diverse range of light novels, erotica, and annotated literature for the purpose of generating novel-like fictional text. As described by the maintainer hakurei, the model was trained on 2GB of data and can be used for entertainment purposes and as a creative writing assistant for fiction writers. Similar models include GPT-J 6B, a 6 billion parameter auto-regressive language model trained on The Pile dataset, and OPT-6.7B-Erebus, a 6.7 billion parameter model fine-tuned on various "adult" themed datasets. Another related model is MPT-7B-StoryWriter-65k+, a 7 billion parameter model designed for generating long-form fictional stories. Model Inputs and Outputs lit-6B takes in text prompts that can be annotated with tags like [ Title: The Dunwich Horror; Author: H. P. Lovecraft; Genre: Horror; Tags: 3rdperson, scary; Style: Dark ] to guide the generation towards a specific style of fiction. The model then generates new text that continues the story in the specified tone and genre. Inputs Text prompts, optionally with metadata tags to indicate desired genre, style, and other attributes Outputs Continuation of the input text, generating novel-like fiction in the specified style Capabilities lit-6B is adept at generating fictional narratives across a range of genres, from horror to romance, by leveraging the metadata annotations provided in the input prompt. The model can produce coherent and engaging passages that flow naturally from the initial text, making it a useful tool for creative writing and story development. What Can I Use it For? lit-6B is well-suited for various entertainment and creative writing applications. Writers can use the model as a collaborative partner to brainstorm ideas, develop characters and plot lines, or generate passages for their stories. The model's ability to adapt to different genres and styles also makes it potentially useful for interactive fiction, game development, or other narrative-driven applications. Things to Try One interesting aspect of lit-6B is the use of annotative prompting to guide the generation. Try experimenting with different combinations of genre, style, and other tags to see how the model's output changes. You could also try providing longer input prompts to see how the model continues and expands upon the narrative. Additionally, you may want to explore the model's capabilities in generating content for different target audiences or exploring more mature themes, while always being mindful of potential biases or limitations.
Updated 5/27/2024