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---
language:
- en
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
license: creativeml-openrail-m
---
# Starsector Portraits
This is a fine-tuned Stable Diffusion model trained on images from the videogame Starsector
Use the token **starsectorportrait** in your prompts for the effect.
# Example prompts & tips
"a starsectorportrait of a person wearing a green balaclava and armored spacesuit"
"a starsectorportrait of an older man wearing a fancy suit with a purple cape"
Even with the training I found it was still useful to include some other phrases and tokens that can be helpful to more accurately match the base art style:
**sabattier effect** to get a more accurate lighting effect
**brush strokes** to achieve the more painterly feel of the portraits
**conte** if brush strokes is not doing enough or adding colorful artifacts to images this is another option
# Sample images from the model:
# File Versions and Comparison Details
All model versions are trained using a hand labeled image set of 556 images with black/white backgrounds and flipped versions of the same images
Any model versions with **pploss** in the name were trained with prior preservation loss enabled and used a regularization set of 8000 portrait images comprised of photos/paintings/digitalart of humans in modern day attire.
**CFG and SAMPLE STEP comparisons between rc_v1 model files**
(prompt: "a starsectorportrait of a person" sampler: euler_a)
**Adaptability comparisons between rc_v1 model files**
(prompt: "a starsectorportrait of an alien cat" sampler: euler_a)
# Hypernetworks
Fine tuning hypernetworks to help with various aspects of image generation.
**HN_ssportrait_rc_v1_no-helmet_finetune_v1:** Hypernetwork finetuned on the full data set minus portraits with face covering helmets, should promote much cleaner facial detail and image quality while still providing for a decent range of helmet generation. Negative prompting for helmet can also help if you find helmets are still generated too frequently.
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