Important note : Provisory Model card mostly a placeholder.

Penelope Palette is an advanced AI model designed for creating lifelike portraits. It leverages the same architecture as Stable Diffusion 3, ensuring high-quality image generation with remarkable detail and style. Most of the description was copied from the stable diffusion 3 since the informations remains generally the same. The model is weaker than Stable Diffusion 3 medium , having trouble generating realistic content ; nudity and anatomy but it performs really good in portraits , having a unique style .

Developed by: Penelope Systems

Model type: MMDiT text-to-image generative model

Model Description: This is a model that can be used to generate images based on text prompts. It is a Multimodal Diffusion Transformer (https://arxiv.org/abs/2403.03206) that uses three fixed, pretrained text encoders (OpenCLIP-ViT/G, CLIP-ViT/L and T5-xxl)

Apache llicense 2.0

For local or self-hosted use, we recommend ComfyUI for inference. It has built-in clip so it shoul be plug & play .

ComfyUI: https://github.com/comfyanonymous/ComfyUI

We used synthetic data and filtered publicly available data to train our models. The model was pre-trained on 1 billion images. The fine-tuning data includes 30M high-quality aesthetic images focused on specific visual content and style, as well as 3M preference data images.

Intended Uses Intended uses include the following:

Generation of artworks and use in design and other artistic processes. Applications in educational or creative tools. Research on generative models, including understanding the limitations of generative models.

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

Same safety measures used by Stable Diffusion 3 were deployed .

For best use we recommand : - steps : 32 - cfg : between 4.0 and 7.0 - sampler_name : dpmpp_2m - scheduler : sgm_uniform