Browse Models
The simplest way to self-host OpenDalle. Launch a dedicated cloud GPU server running Lab Station OS to download and serve the model using any compatible app or framework.
Download model weights for local inference. Must be used with a compatible app, notebook, or codebase. May run slowly, or not work at all, depending on your system resources, particularly GPU(s) and available VRAM.
OpenDalle combines SDXL 1.0 with multiple model components including DPO, Juggernaut7XL, ALBEDOXL, and MEARGEHEAVEN to improve text-to-image generation. It focuses on enhanced prompt adherence through custom tuning methods, positioning it between SDXL and DALL-E 3 in output capabilities.
OpenDalle is a text-to-image AI model that builds upon Stable Diffusion XL technology, offering enhanced capabilities in image generation while maintaining strong prompt adherence. Created by dataautogpt3, the model was first released in late 2023 with version 1.1 following shortly after.
OpenDalle v1.1 integrates multiple foundational models, combining the DPO model from Hugging Face with Juggernaut7XL, ALBEDOXL, MEARGEHEAVEN, and a custom model. This unique merging approach prioritizes semantic accuracy and prompt adherence over ultra-high-fidelity image generation, striking a balance between detail and generation speed.
The model represents an advancement over base Stable Diffusion XL (SDXL) 1.0, positioning itself closer to DALL-E 3 in terms of prompt comprehension and output quality. While the author acknowledges that DALL-E 3 remains more advanced overall, OpenDalle demonstrates superior capabilities compared to standard SDXL implementations.
OpenDalle excels at generating highly detailed images that closely match user prompts, showcasing particularly strong performance in:
The model demonstrates versatility across various artistic styles and subject matters, from photorealistic portraits to surreal landscapes and anime-style illustrations.
For best results, the following parameter values are recommended:
The model can be implemented using the diffusers
library in Python, with detailed usage instructions available on the Hugging Face model page.
OpenDalle v1.1 is licensed under a non-commercial personal use license (CC BY-NC-ND 4.0), which restricts commercial use and prohibits redistribution or sublicensing. The model continues to be under active development, with ongoing work aimed at further improvements and expanded capabilities.
The author has since released a newer model, ProteusV0.2, which is considered their preferred model, though specific comparisons between the two are not detailed in the available information.