arcane-diffusion
Maintainer: tstramer
100
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
arcane-diffusion is a fine-tuned Stable Diffusion model trained on images from the TV show Arcane. It can generate images with a distinct "Arcane style" when prompted with the token
Model inputs and outputs
arcane-diffusion takes a text prompt as input and generates one or more images as output. The model can generate images up to 1024x768 or 768x1024 pixels in size. Users can also specify a seed value, scheduler, number of outputs, guidance scale, negative prompt, and number of inference steps.
Inputs
- Prompt: The text prompt describing the desired image
- Seed: A random seed value (leave blank to randomize)
- Width: The width of the output image (max 1024)
- Height: The height of the output image (max 768)
- Scheduler: The denoising scheduler to use
- Num Outputs: The number of images to generate (1-4)
- Guidance Scale: The scale for classifier-free guidance
- Negative Prompt: Text describing elements to exclude from the output
- Prompt Strength: The strength of the prompt when using an init image
- Num Inference Steps: The number of denoising steps (1-500)
Outputs
- Image(s): One or more generated images matching the input prompt
Capabilities
arcane-diffusion can generate a wide variety of high-quality images with a distinct "Arcane style" inspired by the visual aesthetics of the TV show. The model is capable of producing detailed, photorealistic images of characters, environments, and objects in the Arcane universe.
What can I use it for?
You can use arcane-diffusion to create custom artwork, concept designs, and promotional materials inspired by the Arcane series. The model's specialized training allows it to capture the unique visual style of the show, making it a valuable tool for Arcane fans, artists, and content creators. You could potentially monetize the model's capabilities by offering custom image generation services or creating and selling Arcane-themed digital art and assets.
Things to try
Experiment with different prompts to see the range of images the arcane-diffusion model can produce. Try including details about characters, locations, or objects from the Arcane universe, and see how the model interprets and renders them. You can also play with the various input parameters like seed, guidance scale, and number of inference steps to fine-tune the output and achieve different visual effects.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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