fbmac
This is a dreambooth trained on the comic book character Groo the Wanderer.
The base stable diffusion models struggle to draw this character, my guess that it's because of its unusual style, and insufficient images of him outside of comic book pages, where he appears small and hard to extract from the background.
The trained data is available for download
Version 1 is trained on sd 1.5, with 10 images of Groo with the background removed. it worked better to create funny versions of Groo as a real-life person
Version 2 is trained on sd 2.1 with the same 10 images plus 19 images without their background removed. I didn't upload it as a new version because it got worse at drawing a recognizable Groo if I ask for photorealism, but some things it does better. It makes a much more realistic barbarian
There is a LoRA, that makes more sense for a single character, but I couldn't get the same funny real life version of Groo with that too. It's the same training data as groo-01.
Example images have a different hash because that was before I converted the model to safetensor
What is Groo the Wanderer?
Groo the Wanderer is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user fbmac. Derived from the powerful Stable Diffusion (SD 1.5) model, Groo the Wanderer 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 Groo the Wanderer is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as character, cartoon.
With a rating of 0 and over 0 ratings, Groo the Wanderer is a popular choice among users for generating high-quality images from text prompts.
Can I download Groo the Wanderer?
Yes! You can download the latest version of Groo the Wanderer from here.
How to use Groo the Wanderer?
To use Groo the Wanderer, 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 Groo the Wanderer, check out our crash course in AI image generation.
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