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Enhance inpainting with PowerPaint model for high-quality results using text, shape, object removal, and context awareness.
The easy applyPowerPaint node is designed to enhance your inpainting tasks by leveraging the PowerPaint model. This node allows you to apply sophisticated inpainting techniques to your images, using a combination of a pre-trained PowerPaint model and a CLIP model. The primary goal of this node is to provide a seamless and efficient way to fill in missing or masked parts of an image, guided by various functions such as text, shape, object removal, context awareness, and image outpainting. By integrating these advanced capabilities, the easy applyPowerPaint node helps you achieve high-quality inpainting results with minimal effort, making it an invaluable tool for AI artists looking to refine their creative workflows.
This parameter represents the initial pipeline configuration that includes the model, VAE, positive, and negative samples. It serves as the foundation upon which the PowerPaint model will be applied.
The image parameter is the input image that you want to inpaint. This image will be processed by the PowerPaint model to fill in the masked areas.
The mask parameter defines the regions of the image that need to be inpainted. Areas marked by the mask will be the focus of the inpainting process.
This parameter specifies the PowerPaint model to be used for inpainting. It should be a pre-trained model file that the node will load and apply to the masked areas of the image.
The powerpaint_clip parameter indicates the CLIP model file to be used in conjunction with the PowerPaint model. This model helps guide the inpainting process based on the selected function.
The dtype parameter defines the data type for the model computations. Options include float16
, bfloat16
, float32
, and float64
. The default value is float16
.
This parameter controls the fitting level of the inpainting process, with a default value of 1.0. It can range from 0.3 to 1.0, where lower values result in a looser fit and higher values provide a tighter fit.
The function parameter determines the guiding method for the inpainting process. Options include text guided
, shape guided
, object removal
, context aware
, and image outpainting
. Each option provides a different approach to filling in the masked areas.
The scale parameter adjusts the intensity of the inpainting effect. It ranges from 0.0 to 10.0, with a default value of 1.0. Higher values increase the effect's strength.
This parameter specifies the starting point of the inpainting process in terms of iterations. It ranges from 0 to 10000, with a default value of 0.
The end_at parameter defines the ending point of the inpainting process in terms of iterations. It ranges from 0 to 10000, with a default value of 10000.
The save_memory parameter allows you to manage memory usage during the inpainting process. Options include none
, auto
, and max
. The default value is none
.
The pipe parameter is the updated pipeline configuration after the PowerPaint model has been applied. It includes the modified image and any other relevant data generated during the inpainting process.
float16
, bfloat16
, float32
, or float64
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