Connect image-model providers
The backend prepares prompts, sends generation requests and stores returned images.
AI image generation, fine-tuning and upscaling workspace
An interface for image generation, model fine-tuning, image variants and upscaling.
Project overview
What the service does
An image-workflow application that sends prompts to external image models, stores the generated variants, starts model fine-tuning jobs with a provider and sends images to a separate upscaling service.
Image generation, model fine-tuning and upscaling involve separate provider operations; teams need one interface to start jobs and track results.
Who uses it
Creative and content teams that generate images, prepare model fine-tuning jobs and upscale selected results.
Input
- A prompt and generation settings, including an optional seed.
- Source images and data for provider-side fine-tuning.
- An image and the requested upscaling factor.
Output
- Generated variants linked to their source images.
- Fine-tuning jobs and their provider status.
- An upscaled image.
01 / How the service works
Service workflows
Image generation
- INPUTPrompt and settings
Model, size and optional seed
- PROCESSExternal image model
Send a generation request
- RESULTSave image variants
Keep results linked to their source
Model fine-tuning
- INPUTImages and training data
Prepare a provider training job
- PROCESSProvider fine-tuning
Track the external job status
- RESULTUpdated model status
Show the result in the application
Image upscaling
- INPUTSelected image
Choose an upscaling factor
- PROCESSUpscaling service
Run the separate image-processing service
- RESULTUpscaled image
Save and return the result
03 / Implementation details
Engineering decisions
Use a separate upscaling service
The application sends selected images to an inference service and stores the result.
Track fine-tuning jobs
The interface starts provider-side fine-tuning jobs and displays their status.
Software development for business
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