Model Card for Handsome Lad
This is a image LoRA for Flux.1 and Flux Schnell.
This LoRA was trained with methodology provided by Civitai.
It's not made of real people, but a medley of many different faces, I generated them from Midjourney and Dalle-3 or simply used images from my personal toons LoRAs whether on SDXL or HunYuan.
Objective here is to add more variation to men faces, add a bit of style and nice facial hair. The focus is portrait, but they can be used for anything. Weight suggested is 1. Less than that those fugly default faces show up - or not.
This LoRa is also available on Civitai.
Table of Contents
- Model Card for Handsome Lad
- Table of Contents
- Table of Contents
- Model Details
- Uses
- Bias, Risks, and Limitations
- Training Details
- Evaluation
- Model Examination
- Environmental Impact
- Technical Specifications [optional]
- Citation
- Glossary [optional]
- More Information [optional]
- Model Card Authors [optional]
- Model Card Contact
- How to Get Started with the Model
Model Details
Model Description
This is a image LoRA for Flux.1 and Flux Schnell.
This LoRA was trained with methodology provided by Civitai.
It's not made of real people, but a medley of many different faces, I generated them from Midjourney and Dalle-3 or simply used images from my personal toons LoRAs whether on SDXL or HunYuan.
Objective here is to add more variation to men faces, add a bit of style and nice facial hair. The focus is portrait, but they can be used for anything. Weight suggested is 1. Less than that those fugly default faces show up - or not.
This LoRa is also available on Civitai.
- Developed by: More information needed
- Shared by [Optional]: More information needed
- Model type: Language model
- Language(s) (NLP): en
- License: wtfpl
- Parent Model: More information needed
- Resources for more information: More information needed
Uses
Direct Use
Downstream Use [Optional]
Out-of-Scope Use
Bias, Risks, and Limitations
Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
Recommendations
Training Details
Training Data
More information on training data needed
Training Procedure
Preprocessing
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Speeds, Sizes, Times
More information needed
Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Model Examination
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: More information needed
- Hours used: More information needed
- Cloud Provider: More information needed
- Compute Region: More information needed
- Carbon Emitted: More information needed
Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation
BibTeX:
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APA:
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Glossary [optional]
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More Information [optional]
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Model Card Authors [optional]
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Model Card Contact
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How to Get Started with the Model
Use the code below to get started with the model.
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