mitsudoue Model

mitsudoue-7k (safetensors)
donjo
almost 3 years ago

Anime style based on mitsudoue's work

Not affiliated in any way.

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What is mitsudoue Model?

mitsudoue Model is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user donjo. Derived from the powerful Stable Diffusion (SD 1.5) model, mitsudoue Model has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that mitsudoue Model is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime.

With a rating of 0 and over 0 ratings, mitsudoue Model is a popular choice among users for generating high-quality images from text prompts.

Can I download mitsudoue Model?

Yes! You can download the latest version of mitsudoue Model from here.

How to use mitsudoue Model?

To use mitsudoue Model, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like mitsudoue Model, check out our crash course in AI image generation.

Download (1.94 GB) Download available on desktop only
You'll need to use a program like A1111 to run this – learn how in our crash course

Popularity

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Info

Base model: SD 1.5
Trigger word:

Latest version (mitsudoue-7k (safetensors)): 1 File

To download these files, please visit this page from a desktop computer.

About this version: mitsudoue-7k (safetensors)

clip skip 2 and wd 1.3 vae recommended

saved in safetensors format as half-precision floats.

2 Versions

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