instant-paint
Maintainer: batouresearch
2
| Property | Value |
|---|---|
| Model Link | View 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
The instant-paint model is a very fast img2img AI model developed by batouresearch for real-time AI collaboration. It is similar to other AI art models like gfpgan, magic-style-transfer, magic-image-refiner, open-dalle-1.1-lora, and sdxl-outpainting-lora which are also focused on various image generation and enhancement tasks.
Model inputs and outputs
The instant-paint model takes in an input image, a text prompt, and various optional parameters to control the output. It then generates a new image based on the provided prompt and input image. The outputs are an array of image URLs.
Inputs
- Prompt: The text prompt that describes the desired output image.
- Image: The input image to use for the img2img process.
- Num Outputs: The number of images to generate, up to 4.
- Seed: A random seed value to control the image generation.
- Scheduler: The type of scheduler to use for the image generation.
- Guidance Scale: The scale for classifier-free guidance.
- Num Inference Steps: The number of denoising steps to perform.
- Prompt Strength: The strength of the prompt when using img2img or inpainting.
- Lora Scale: The additive scale for LoRA, if applicable.
- Lora Weights: The LoRA weights to use, if any.
- Replicate Weights: The Replicate weights to use, if any.
- Batched Prompt: Whether to split the prompt by newlines and generate images for each line.
- Apply Watermark: Whether to apply a watermark to the generated images.
- Condition Scale: The scale for the ControlNet condition.
- Negative Prompt: The negative prompt to use for the image generation.
- Disable Safety Checker: Whether to disable the safety checker for the generated images.
Outputs
- Image URLs: An array of URLs for the generated images.
Capabilities
The instant-paint model is a powerful img2img AI that can quickly generate new images based on an input image and text prompt. It is capable of producing high-quality, visually striking images that adhere closely to the provided prompt. The model can be used for a variety of creative and artistic applications, such as concept art, illustration, and digital painting.
What can I use it for?
The instant-paint model can be used for various image generation and editing tasks, such as:
- Collaborating with AI in real-time on art projects
- Quickly generating new images based on an existing image and a text prompt
- Experimenting with different styles, effects, and compositions
- Prototyping and ideation for creative projects
- Enhancing existing images with additional details or effects
Things to try
With the instant-paint model, you can experiment with different prompts, input images, and parameter settings to explore the breadth of its capabilities. Try using the model to generate images in various styles, genres, and subjects, and see how the output changes based on the input. You can also try combining the instant-paint model with other AI tools or models, such as the magic-style-transfer model, to create even more interesting and unique images.
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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