DESSEP/DreamCORE-v1_open

DESSEP "DreamCORE-v1 [open]" Model Card

This model card focuses on the model associated with the Stable Diffusion v2.x model, codebase available here.

Model Details

• Developed by: Evgeniy Pantin
• Model type: Diffusion-based text-to-image generation model
• Language(s): English
• License: CreativeML Open RAIL++-M License
• Model Description: This is a model that can be used to generate and modify images based on text prompts.

Uses

Direct Use

The model is intended for research purposes only. Possible research areas and tasks include:

• Research on generative models.
• Probing and understanding the limitations and biases of generative models.
• Generation of artworks and use in design and other artistic processes.
• Applications in educational or creative tools.
• Safe deployment of models which have the potential to generate harmful content.

Excluded uses are described below.

Malicious Use, and Out-of-Scope Use

• You can use this model for both commercial and non-commercial purposes.
• You have the right to improve, modify, and use this model within the limits specified in this license.

The model should not be used to intentionally create or disseminate images that create hostile or alienating environments for people. This includes generating images that people would foreseeably find disturbing, distressing, or offensive; or content that propagates historical or current stereotypes.

Out-of-Scope Use

The model was not trained to be factual or true representations of people or events, and therefore using the model to generate such content is out-of-scope for the abilities of this model.

Misuse and Malicious Use

Using the model to generate content that is cruel to individuals is a misuse of this model. This includes, but is not limited to:

• Generating demeaning, dehumanizing, or otherwise harmful representations of people or their environments, cultures, religions, etc.
• Intentionally promoting or propagating discriminatory content or harmful stereotypes.
• Impersonating individuals without their consent.
• Sexual content without consent of the people who might see it.
• Mis- and disinformation
• Representations of egregious violence and gore
• Sharing of copyrighted or licensed material in violation of its terms of use.
• Sharing content that is an alteration of copyrighted or licensed material in violation of its terms of use.

Limitations

• The model cannot render legible text
• The model does not perform well on more difficult tasks which involve compositionality, such as rendering an image corresponding to “A red cube on top of a blue sphere”
• Faces and people in general may not be generated properly.
• The model was trained mainly with English captions and will not work as well in other languages.
• The autoencoding part of the model is lossy

Training

Training Data The model developer used the following dataset for training the model:

• This model was trained on synthetic images, photographs and original layouts created in the "Design Studio of Evgeny Pantin" (DESSEP). The training was carried out in several stages, on highly artistic images measuring 576x576, 768x768, 896x896
• The training images were carefully selected and did not contain NSFW data.
• Some of the training data for the [BASE] model was not used in this release.
• All images used in the training were created in my studio, or had permission to use for commercial purposes. Using the model "DreamCORE-v1 [open]" you can be sure that the rights of the owners of the original images are not violated.

Addition

The model's capabilities can be expanded using: LoRa, LyCORIS, HyperNetwork

NOTE

You can support the author with any amount, this money will go to training a new model.

• ETH: 0xD07C4bB4F8470dFA3B85dD972f9171B932Fcb165
• BTC: 1iCZHQrmtodDcEjnhUpakBi9y7voRjzjs

*This model card was written by: Evgeniy Pantin