Fine-Tune AI Model & ControlNet
Budget: $30 – $250 USD
We are looking for an AI/ML engineer who can fine-tune an open-source image generation model and build an image-to-image pipeline. The system must handle pose-based inputs, clothing, character, and background control. We plan to use this in production, so speed, accuracy, and stability are important.
You will help us:
Build an SDXL (or similar) image generation pipeline
Add ControlNet pose conditioning
Enable image-to-image generation
Maintain strong prompt + visual accuracy
Produce deterministic results
Deliver a clean inference API (REST or gRPC)
Performance target:
Image generation in about 5–8 seconds on a 4090 GPU.
We want someone who can work with us long-term as we continue developing features like LoRAs, presets, and video generation later on.
If you have experience with diffusion models, ControlNet, SDXL, LoRA training, or production deployment, we want to hear from you.
You will help us:
Build an SDXL (or similar) image generation pipeline
Add ControlNet pose conditioning
Enable image-to-image generation
Maintain strong prompt + visual accuracy
Produce deterministic results
Deliver a clean inference API (REST or gRPC)
Performance target:
Image generation in about 5–8 seconds on a 4090 GPU.
We want someone who can work with us long-term as we continue developing features like LoRAs, presets, and video generation later on.
If you have experience with diffusion models, ControlNet, SDXL, LoRA training, or production deployment, we want to hear from you.