Production-Ready Image Model Fine Tuning
Budget: $30 – $250 USD
We are seeking an experienced engineer to help fine-tune an open-source image generation model for our use case. While we appreciate the capabilities of the new Z image model, our requirement is to support robust image-to-image generation.
The model must demonstrate strong adherence to instructions. Inputs will include structured parameters such as pose, attire, character, and background.
Because the poses will be based on specific model poses, we may need to integrate a pose-based ControlNet. The system should be optimized for performance, as it will be used in a production environment; an image generation time of approximately 5–8 seconds is acceptable.
We also require a production-ready inference API (REST or gRPC) with the following capabilities:
Ability to select the base model
Enable or disable LoRAs dynamically
Accept preset configuration parameters
Return deterministic results within defined constraints
In addition, we are looking for a partner who can collaborate with us to implement and deploy this solution in a production environment.
The model must demonstrate strong adherence to instructions. Inputs will include structured parameters such as pose, attire, character, and background.
Because the poses will be based on specific model poses, we may need to integrate a pose-based ControlNet. The system should be optimized for performance, as it will be used in a production environment; an image generation time of approximately 5–8 seconds is acceptable.
We also require a production-ready inference API (REST or gRPC) with the following capabilities:
Ability to select the base model
Enable or disable LoRAs dynamically
Accept preset configuration parameters
Return deterministic results within defined constraints
In addition, we are looking for a partner who can collaborate with us to implement and deploy this solution in a production environment.