Creates dragons (head/neck area). I didn't see any model that could make dragons well enough and I wanted to be able to generate some digital-art style dragons from which I could paint over, and this model serves that purpose well for me. Far from perfect, but can generate some cool dragons. Trained on SD 1.5 with a custom dataset. Use 'dragzkz' as the keyword.
Included 2 versions, 1 for 4500 steps which is generally good, and 1 with some added input images for ~8850 steps, which is a bit cooked but can sometimes provide results closer to what I was after. I apologize as the preview images for both contain images generated with both, but they do produce similar results, try both and see which works best for you.
Here is an example of an image I created using this model:
https://twitter.com/ArtifartX/status/1616608254154670082?s=20
Dragon Diffusion is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user ArtifartX. Derived from the powerful Stable Diffusion (SD 1.5) model, Dragon Diffusion 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 Dragon Diffusion is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as dragons, digital art, digital illustration.
With a rating of 4 and over 1 ratings, Dragon Diffusion is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Dragon Diffusion from here.
To use Dragon Diffusion, 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 Dragon Diffusion, check out our crash course in AI image generation.
This version is the 4500 step version, overall I think I like it better, but the other version can produce better results and was trained longer (8500 steps) and on more input data, so I would recommend downloading both versions and trying them both, your mileage will vary. The other version is actually newer, but civit would not allow me to upload both initially.