This is a fine-tuned Stable Diffusion model (based on v1.5) trained on screenshots from 80s music video Take on me (from A-HA band). I made two versions of the model, the second one is slightly different, please read the description below. Use the token takeON in your prompts to use the style.

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What is takeON?

takeON is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user tuwonga. Derived from the powerful Stable Diffusion (SD 1.5) model, takeON 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 takeON is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as comic book, character, girl.

With a rating of 5 and over 1 ratings, takeON is a popular choice among users for generating high-quality images from text prompts.

Can I download takeON?

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

How to use takeON?

To use takeON, 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 takeON, 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 (takeON_v2): 1 File

takeon_V2.ckpt (1.94 GB)
To download these files, please visit this page from a desktop computer.

About this version: takeON_v2

In this second version I've trained only the half-drawn scene, I mean where the character is drawn and the background is in real life. The result is different, sometimes with colors and sometimes with a comic frame inside the image.

I've found interesting the output in the img2img or inpaint generation. You can see the results in the second image (original/img2img/inpaint).

2 Versions

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