chubas

Model Card for Model ID

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grug's mixes for maek bicshar of vchuba

Model Details

Full Size, Warning, 74 MiB, 60 megapixel PNG

Hi-Res Fix Full Size, Warning, 286 MiB, 240 megapixel PNG

"Pruned"

Pruned models are smaller. There is no tangible difference in generated images.

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Model Description

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• Developed by: [hll man]
• Shared by [optional]: [grug]
• Model type: [mix]
• Language(s) (NLP): [tagalog]
• License: [creativeml-openrail-ml]
• Finetuned from model [optional]: [many. see commit messages for models]

Model Sources [optional]

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• Repository: [AbyssOrangeMix and AbyssOrangeMix2 - Elysium Anime V2 - Anything-V3.0]
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

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for maek bicshar of vchuba

Direct Use

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apply directly to the colab

Downstream Use [optional]

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proompting

Out-of-Scope Use

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• "Attachment A" from Stable Diffusion's original license, which this repository also uses as its own license
• polluting the catalog
• dramabaiting

Attachment A

Use Restrictions

You agree not to use the Model or Derivatives of the Model:

• In any way that violates any applicable national, federal, state, local or international law or regulation;
• For the purpose of exploiting, harming or attempting to exploit or harm minors in any way;
• To generate or disseminate verifiably false information and/or content with the purpose of harming others;
• To generate or disseminate personal identifiable information that can be used to harm an individual;
• To defame, disparage or otherwise harass others;
• For fully automated decision making that adversely impacts an individual’s legal rights or otherwise creates or modifies a binding, enforceable obligation;
• For any use intended to or which has the effect of discriminating against or harming individuals or groups based on online or offline social behavior or known or predicted personal or personality characteristics;
• To exploit any of the vulnerabilities of a specific group of persons based on their age, social, physical or mental characteristics, in order to materially distort the behavior of a person pertaining to that group in a manner that causes or is likely to cause that person or another person physical or psychological harm;
• For any use intended to or which has the effect of discriminating against individuals or groups based on legally protected characteristics or categories;
• To provide medical advice and medical results interpretation;
• To generate or disseminate information for the purpose to be used for administration of justice, law enforcement, immigration or asylum processes, such as predicting an individual will commit fraud/crime commitment (e.g. by text profiling, drawing causal relationships between assertions made in documents, indiscriminate and arbitrarily-targeted use).

Bias, Risks, and Limitations

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[see license]

Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

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Training Procedure [optional]

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Preprocessing

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Speeds, Sizes, Times

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[More Information Needed]

Evaluation

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Testing Data, Factors & Metrics

Testing Data

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[More Information Needed]

Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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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 [optional]

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BibTeX:

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APA:

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Glossary [optional]

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Model Card Authors [optional]

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