This model was trained on images from the animated Marvel Disney+ show What If. Which includes characters, background, and some objects.
To reference the art style, use the token: whatif style
You can check out the diffuser model here on huggingface
The samples below are made using V1.
I have since added/adjusted the training images, and trained in more steps, should at least be equal or better than V1.
Marvel What_If Diffusion is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user ItsJayQz. Derived from the powerful Stable Diffusion (SD 1.5) model, Marvel What_If 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 Marvel What_If Diffusion is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as comic book, batman, landscapes.
With a rating of 5 and over 3 ratings, Marvel What_If Diffusion is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Marvel What_If Diffusion from here.
To use Marvel What_If 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 Marvel What_If Diffusion, check out our crash course in AI image generation.
Adjusted and added more training images, and also trained in more steps.
Go ahead and upload yours!
Your query returned no results – please try removing some filters or trying a different term.