Information
Models mainly for anime. Compatible with pony loras.
Knows more tags from danbooru such as; characters, styles, concepts. Maybe some artists.
The additional knowledge comes from this lora. I merged only the output blocks with the lycoris, so the anatomy from the base models is not compromised.
Example images have no negative prompt.
Prompts
- You don't need the score tags in positive.
- More responsive to style tags, examples;
graphite pencil, 2.5d, bold line, smooth shading, flat colors, minimalistic, cgi, digital painting, ink style, oil style, pastel style
- Negative prompt can be left blank. If you want a negative, don't use long ones.
> Something like "abstract,3d" or "text,watermark" is good. "photorealistic,photo \(medium\)" for cartoon, "text,manga,sfx" for less speech bubbles. Also a few keywords for unwanted objects.
Tips
- If a character isn't picked up by it's name, you can use their physical description and copyright.
Example: neptune_\(neptunia\), neptune \(series\), d-pad hair ornament, hooded track jacket
- Perturbed attention guidance improves details, scale near 1.
Nodes used with ksampler on example images:
What is Qolor?
Qolor is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user qelt. Derived from the powerful Stable Diffusion (Pony) model, Qolor 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 Qolor is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, base model, girls.
With a rating of 0 and over 0 ratings, Qolor is a popular choice among users for generating high-quality images from text prompts.
Can I download Qolor?
Yes! You can download the latest version of Qolor from here.
How to use Qolor?
To use Qolor, 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 Qolor, check out our crash course in AI image generation.
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Latest version (e): 1 File
About this version: e
better prompt adherence + colors
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