Bulk AI Model Image Generator
Budget / Salary$30–250
TypeFreelance project
LocationRemote
Posted1 hour ago
I want a web-based dashboard built straight into my e-commerce clothing site that lets me drag-and-drop a batch of flat lays or ghost-mannequin shots and, with one click, receive a polished front-facing photo of a realistic model wearing each piece.
Key details
• The tool must recognise women’s, men’s and children’s garments. For kids’ lines it needs to cover baby & toddler, boys and girls automatically.
• For every item I only need one clean, front-on model shot in return; no side or back angles for now.
• I should be able to upload in bulk (dozens or hundreds at a time), watch progress in a queue, then download or push the finished PNG/JPEGs straight into my product pages.
Technical expectations
– A browser-based UI nested inside my existing store admin, with secure login.
– Server-side generation powered by an AI image engine (Stable Diffusion, custom GAN or comparable). Feel free to propose your stack: Python, Node, PyTorch, TensorFlow, etc.
– Results must look natural: correct body proportions, realistic fabric drape, and colour fidelity matching the original photo.
– Minimum output: 2048 px on the longest side, transparent or white background.
– All processing should happen on my cloud account (AWS, GCP or Azure) so I keep control of data and compute costs.
Deliverables
1. Working integration deployed to my staging store
2. Source code and installation docs
3. Quick-start guide for my staff (PDF or short Loom video)
4. Two weeks of bug-fix support after hand-over
Acceptance will be based on the tool reliably converting at least 95 % of a 100-item test batch into high-quality, front-facing model images that are ready to publish.
If you’ve built similar generative-AI pipelines before, I’d love to see a demo link or repo.
Key details
• The tool must recognise women’s, men’s and children’s garments. For kids’ lines it needs to cover baby & toddler, boys and girls automatically.
• For every item I only need one clean, front-on model shot in return; no side or back angles for now.
• I should be able to upload in bulk (dozens or hundreds at a time), watch progress in a queue, then download or push the finished PNG/JPEGs straight into my product pages.
Technical expectations
– A browser-based UI nested inside my existing store admin, with secure login.
– Server-side generation powered by an AI image engine (Stable Diffusion, custom GAN or comparable). Feel free to propose your stack: Python, Node, PyTorch, TensorFlow, etc.
– Results must look natural: correct body proportions, realistic fabric drape, and colour fidelity matching the original photo.
– Minimum output: 2048 px on the longest side, transparent or white background.
– All processing should happen on my cloud account (AWS, GCP or Azure) so I keep control of data and compute costs.
Deliverables
1. Working integration deployed to my staging store
2. Source code and installation docs
3. Quick-start guide for my staff (PDF or short Loom video)
4. Two weeks of bug-fix support after hand-over
Acceptance will be based on the tool reliably converting at least 95 % of a 100-item test batch into high-quality, front-facing model images that are ready to publish.
If you’ve built similar generative-AI pipelines before, I’d love to see a demo link or repo.
Apply on Freelancer →
Project sourced from Freelancer.com. Applications happen directly on the original platform — we never collect your data.