Model configuration
Model configuration is currently available for text-to-image based models and will be extended to other types of models, such as text-to-text and image-to-image, in the future.
Image IO
Image IO is available from 2.1.0
Magnolia AI Accelerator Image IO enables a flexible way for developers to add image models such as DallE·2/3 and Flux for AI powered image generation.
Installing with Maven
<dependency>
<groupId>info.magnolia.ai</groupId>
<artifactId>magnolia-ai-accelerator-image-io</artifactId>
<version>2.1.0</version>
</dependency>Configuration
Image models can be added to your light module by creating a aiTextToImageModels folder and adding a <your-image-to-image-model>.yaml file with the following configuration:
modelName: <your-image-to-image-model>
id: <your-image-to-image-model>
appId: <your-image-to-image-model>
scriptLocation: <image-to-image-model-script>(2)
modelParameters:
<model-parameter-name>:
type: <PARAMETER-TYPE>(1)
required: <true/false>
description: <DESCRIPTION>
defaultValue: <DEFAULT-VALUE>| 1 | Parameters present in this configuration will have a UI representation and should represent the configurable parameters of the image model. Available parameter types are:
|
| 2 | The executor script is a script that will be executed by the AI accelerator to and should include API calls against the image model API.
The script is required to have a default export class that has the method generateImage(appState, parameters). |
Example:
export default class {
/**
*
* @param appState contains Application State (provided by AI Accelerator)
* @param parameters contains all configured model parameters i.e (2)
* @returns {{b64_json: String, width: Number, height: Number, prompt: String}[]}>
*/
async generateImage(appState, parameters) {
const images = callImageModelApi(parameters);
return images;
}
}Sample Image to Image models
OpenAI Dall-E·2
Sample model configuration for generating images with Dall-E·2 (https://platform.openai.com/docs/api-reference/images).
modelName: Dall-E·2
id: dall-e-2
appId: dall-e-2
modelParameters:
prompt:
type: PROMPT
required: true
description: The prompt to generate an image from.
n:
type: NUMBER
description: |
The number of images to generate. Must be between 1 and 10.
defaultValue: 1
size:
type: ENUM
description: |
The size of the generated images. Defaults to 1024x1024
Must be one of 1024x1024, 1792x1024, or 1024x1792
enumValues: [1024x1024, 1792x1024, 1024x1792]
defaultValue: 1024x1024
scriptLocation: /ai-accelerator-openai/webresources/DallEImageModelHandler.jsOpenAI Dall-E·3
Sample model configuration for generating images with Dall-E·3 (https://platform.openai.com/docs/api-reference/images).
modelName: OpenAI Dall-E·3
id: dall-e-3
appId: dall-e-3
modelParameters:
prompt:
type: PROMPT
required: true
description: The prompt to generate an image from.
size:
type: ENUM
description: |
The size of the generated images. Defaults to 1024x1024
Must be one of 1024x1024, 1792x1024, or 1024x1792
enumValues: [1024x1024, 1792x1024, 1024x1792]
defaultValue: 1024x1024
style:
type: ENUM
description: |
The style of the generated images. Must be one of vivid or natural. Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images.
enumValues: [vivid, natural]
defaultValue: vivid
quality:
type: ENUM
description: |
The quality of the image that will be generated. hd creates images with finer details and greater consistency across the image
enumValues: [standard, hd]
defaultValue: standard
scriptLocation: /ai-accelerator-openai/webresources/DallEImageModelHandler.jsFLUX.1.0 [dev]
Sample configuration for FLUX.1.0 [dev] model (https://fal.ai/models/fal-ai/flux/dev).
modelName: FLUX.1 [dev]
id: flux/dev
appId: flux
modelParameters:
prompt:
type: PROMPT
required: true
description: The prompt to generate an image from.
image_size:
type: ENUM
description: |
The size of the generated image. Default value: landscape_4_3
Possible enum values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9
enumValues: [square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9]
defaultValue: landscape_4_3
num_outputs:
type: NUMBER
description: "The number of images to generate. Default value: 1"
defaultValue: 1
guidance_scale:
type: NUMBER
description: "The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Default value: 3.5"
defaultValue: 3.5
num_inference_steps:
type: NUMBER
description: "The number of inference steps to perform. Default value: 28"
defaultValue: 28
scriptLocation: /ai-accelerator-fal-ai/webresources/FluxImageModelHandler.jsFLUX.1.1 [pro]
Sample model configuration for the FLUX.1.1 [pro] model (https://fal.ai/models/fal-ai/flux-pro/v1.1/api).
modelName: FLUX.1.1 [pro]
id: flux-pro/v1.1
appId: flux-pro
modelParameters:
prompt:
type: PROMPT
required: true
description: The prompt to generate an image from.
image_size:
type: ENUM
description: |
The size of the generated image. Default value: landscape_4_3
Possible enum values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9
enumValues: [square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9]
defaultValue: landscape_4_3
num_outputs:
type: NUMBER
description: "The number of images to generate. Default value: 1"
defaultValue: 1
guidance_scale:
type: NUMBER
description: "The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Default value: 3.5"
defaultValue: 3.5
num_inference_steps:
type: NUMBER
description: "The number of inference steps to perform. Default value: 28"
defaultValue: 28
scriptLocation: /ai-accelerator-fal-ai/webresources/FluxImageModelHandler.js