hitokomoru-diffusion-v2
Maintainer: Linaqruf
57
👨🏫
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
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 [object Object] library, to explore the full capabilities of the model.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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