malcolmrey
Rosario Dawson is probably most known for her role in Sin City, but she also played in Daredevil, Mandalorian, Grindhouse, Descent, Trance, and Alexander.
What is Rosario Dawson?
Rosario Dawson is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user malcolmrey. Derived from the powerful Stable Diffusion (SD 1.5) model, Rosario Dawson has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Rosario Dawson is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as rosario dawson, woman, actress.
With a rating of 0 and over 0 ratings, Rosario Dawson is a popular choice among users for generating high-quality images from text prompts.
Can I download Rosario Dawson?
Yes! You can download the latest version of Rosario Dawson from here.
How to use Rosario Dawson?
To use Rosario Dawson, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Rosario Dawson, check out our crash course in AI image generation.
Popularity
Info
Latest version (V1): 2 Files
About this version: V1
Since the model is made using custom merge, the simple prompts may return dull results. It's best to be creative and play with the strength of the token keywords.
Merge included HassanBlend and Pyros which means that there should be less anatomically incorrect poses (and yes, you could use it in the way HassanBlend and Pyros were trained for as well).
