Fine-Tune AI Model & ControlNet

@divumanocha

Hello, I am AI/ML expert with 12+ years of industry experience, I understand the intricate demands and utmost importance of your project on fine-tuning the image generation model and building an image-to-image pipeline. My expertise perfectly aligns with your needs, encompassing not only Python but also knowledge of Node.js, Django and Flask frameworks which will be valuable to build the SDXL-like pipeline you seek. Moreover, my understanding of ControlNet, demonstrated through past projects in IOT and Computer Vision as well as deep understanding of Machine Learning and Data Visualization is pivotal for successfully including the pose-conditioning to your system and ensuring prompt visual accuracy for deterministic results. My proficiency in diverse stacks ranging from NLP to Spring will enable me to deliver a robust REST or gRPC API. Thank you for considering me for the task at hand. Divya Manocha

@maximg10

⭐Hi, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have extensive experience in AI/ML engineering, specializing in prompt engineering, stable diffusion, and computer vision. My technical expertise includes Python, CUDA, Pytorch, and developing AI models for image processing. This project will address critical needs by fine-tuning the AI model to enable pose-based inputs, clothing, character, and background control. Implementing ControlNet pose conditioning and image-to-image generation will ensure prompt accuracy, stability, and deterministic results. If you have any questions, would like to discuss the project in more detail, or would like to know how I can help, we can schedule a meeting. Thank you. Maxim

@abhisaini0188

Hello, Thank you so much for posting this opportunity. It sounds like a great fit, and I’d love to be part of it! I’ve worked on similar projects before, and I’m confident I can bring real value to your project. I’m passionate about what I do and always aim to deliver work that’s not only high-quality but also makes things easier and smoother for my clients. Feel free to take a quick look at my profile to see some of the work I’ve done in the past. If it feels like a good match, I’d be happy to chat further about your project and how I can help bring it to life. I’m available to get started right away and will give this project my full attention from day one. Let’s connect and see how we can make this a success together! Looking forward to hearing from you soon. With Regards! Abhishek Saini

@efanntyo

Hello Jovan I. Hope you are doing well! This is Efan , I checked your project detail carefully. I am pretty much experienced with Prompt Engineering, REST API, Python, Computer Vision, CUDA, AI Model Development, Pytorch, Stable Diffusion, Machine Learning (ML) and Image Processing for over 8 years, I can update you shortly. Cheers Efan

@xuezhe315

Hi, Having successfully delivered over 50 projects that utilize my extensive expertise in computer vision and image processing, I'm confident in my ability to tackle the complexities of your AI/ML project. My specializations in natural language processing, predictive modeling, and custom model training with PyTorch and TensorFlow make me well-suited to fine-tune your open-source image generation model and add ControlNet pose conditioning. I understand the crucial balance between speed, accuracy, and stability that production deployment demands. My skills extend beyond just model building; I have a strong background in backend development (Node.js, Django, FastAPI) and cloud services (AWS, GCP, Azure) that will enable me to build a robust SDXL-like image generation pipeline to achieve the targeted performance of 5-8 seconds on a 4090 GPU. Additionally, I have experience deploying RESTful APIs - either REST or gRPC for inference. What sets me apart is not just my technical skills but also my business-driven mindset. I don't see your project as just another code challenge but as a tool to drive measurable business growth for you. As an AI/ML freelancer, I'm focused on ensuring your final product doesn't just meet technical requirements but also aligns with your business goals. let's discuss how we can turn your project goals into impactful results!

@Techroj

Dear Client, Greetings!! I have gone through the project description, and found that all of the mentioned requirements fall over my expertise, as I have hands-on experience on python, AI/ML, Data Science, software building, etc. I have been coding on Machine Learning and Data Science with python from past 7 years. I have the experience of working with 4 giant tech companies, including freelancing on upwork, fiverr and freelancer. Hope to hear from you soon!!. Regards, Rojan

@Zawiya3

With my broad and multifaceted skillset as an AI/ML engineer, I am the ideal candidate to bring your image generation model closer to perfection. My experience with stable diffusion, CUDA, and Python aligns seamlessly with your project goals. I am confident in handling complex AI models for image generation and can contribute significantly to integrating ControlNet pose conditioning in your pipeline. Moreover, I understand the importance of accuracy, stability, and speed in production environments; these will be central themes in my work for you. Having worked on projects from various industries including fintech and healthcare, I've developed a high sense of precision with prompt demonstrations that would be aligned with your requirements. Looking towards the future, I fully grasp your vision for long-term collaboration. As a data scientist who looks beyond tasks at hand, my approach involves not only delivering according to immediate needs but also constructing scalable solutions that stand the test of time. So let me navigate your project towards greater horizons by optimizing LoRA training and implementing video generation capabilities.

@AlexDeveloper911

Hi, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Python, CUDA, Machine Learning (ML), Image Processing, Pytorch, Computer Vision, REST API, Stable Diffusion, Prompt Engineering, AI Model Development Lets connect in chat so that We discuss further. Regards

@AnzhelikaAwesome

Hi, I see you need someone to build an SDXL image generation pipeline with ControlNet pose conditioning and image-to-image generation. The requirement for deterministic results and performance targets around 5-8 seconds on a 4090 GPU clearly shows you need both speed and accuracy, which can sometimes conflict if the pipeline isn’t optimized properly. ✅ First, I’d focus on fine-tuning your base model with careful dataset curation to ensure prompt and visual accuracy. ✅ Second, integrate ControlNet for pose conditioning while making sure the system remains stable under production loads. ✅ Lastly, design and build a clean inference API (REST or gRPC) that supports your planned long-term features like LoRAs and presets. One risk to highlight is that adding multiple controls simultaneously may complicate model convergence and inference speed. I would NOT recommend rushing the integration of all features at once because it could jeopardize stability and performance. If this aligns, I can outline next steps right away. Best regards,

@Zeeshan0489

Hi there, I’ve built and deployed production-grade diffusion pipelines, including fine-tuning open-source models like SDXL and integrating ControlNet for pose conditioning. I will deliver a fast, deterministic image-to-image pipeline with robust pose, clothing, character, and background control, along with a clean REST or gRPC inference API ready for production. What I bring: - Deep experience with diffusion models, LoRA training, and scalable production deployments. - End-to-end stack: Python, PyTorch, CUDA, image processing, prompt engineering, and API development. - Speed optimization to hit 5–8 seconds per image on a 4090 GPU via optimized sampling, mixed precision, and careful batching. - Deterministic results through fixed seeds and controlled randomness, ensuring reproducibility across runs. - Production-grade API design with versioning, authentication, error handling, logging, and observability. Approach: 1) Build an SDXL-based image generation pipeline with ControlNet pose conditioning and image-to-image flow. 2) Apply LoRA fine-tuning for task-specific control and preserve strong prompt+visual fidelity. 3) Expose a clean inference API (REST or gRPC) with deterministic outputs and thorough input validation. 4) Benchmark and optimize to meet target latency; provide scalable, production-ready code and docs. 5) Plan for future features (presets, LoRAs, video generation) with a long-term collaboration road map. Timeline & handoff: - MVP ready in about 21 days with do

@billybryan98

Hello Jovan, I hope you are doing well. I’ve read your aim to fine-tune an open-source diffusion model (SDXL or similar), weave in ControlNet pose conditioning, enable image-to-image, and deliver a production-ready REST or gRPC API with deterministic results at 5–8 seconds on a 4090. I’ve built production diffusion pipelines with PyTorch/CUDA, including LoRA-based fine-tuning, prompt optimization, and robust deployment. My plan is to craft a lean LoRA adapter setup, integrate ControlNet for pose/clothing/character/background controls, implement reliable image-to-image with deterministic seeds, and expose a versioned API with monitoring and reproducibility. I’ll optimize for speed via mixed precision, operator fusion, and caching, ensuring stability for long-term use. I’m excited about continuing with LoRAs, presets, and video generation later, and I’ll architect a modular pipeline suitable for Azure/AWS deployments, CI/CD, and observability. MVP target around 12 days with benchmarks and QA to validate latency and accuracy. Please feel free to contact me so we can discuss more details. I am looking forward to the chance of working together. Best regards, Billy Bryan

@SolutionMart

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@novatech2210

Dear Jovan, **Just finished a similar project** with a renowned client in the AI/ML space, where we successfully fine-tuned a state-of-the-art image generation model using ControlNet pose conditioning. I believe my team and I are the perfect fit for your project. With extensive experience in building and fine-tuning AI/ML models, we possess the necessary expertise to deliver a high-performance image generation pipeline that meets your requirements. With multiple 5-star reviews on similar projects, you can trust that our services will provide a seamless and professional experience. We have a proven track record of delivering accurate, efficient, and reliable solutions that exceed client expectations. I noticed that you're looking for someone who can work with you long-term to develop features like LoRAs, presets, and video generation. We're committed to building long-term relationships with our clients, ensuring that our solutions continue to evolve and meet their ever-changing needs. Specifically, I'm excited about the prospect of building an SDXL image generation pipeline, adding ControlNet pose conditioning, and enabling image-to-image generation. Our team is well-versed in maintaining strong prompt and visual accuracy, producing deterministic results, and delivering clean inference APIs (REST or gRPC). I'd be happy to discuss how we can help you achieve your performance target of generating images in 5-8 seconds on a 4090 GPU. The worst that can happen is you walk away with a free consultation. Best regards, Chris | Lead Developer |

@davidmichael2025

Hello, As a veteran game developer and automation bot expert, I bring to your project a unique mix of skills that directly align with your needs. My proficiency in creating intricate gameplay systems, intelligent AI behavior, and complex pathfinding will prove invaluable as we fine-tune your AI model and work on the ControlNet pose conditioning. I am precise when it comes to handling image-to-image pipelines, and my experience with builds targeted to specific GPUs will help us meet your performance target within 5-8 seconds. Additionally, my extensive knowledge in web automation and data scraping can assist us in producing a clean inference API - may it be REST or gRPC. My clients commend me for clear communication - a quality I believe is crucial in precisely understanding what you envision for this project. Thus, I assure you, not only deterministic results but also a workflow that never deviates from your requirements. What separates me from the crowd is my dedication to client satisfaction and long-term support. Your project doesn't end with image generation. It includes upcoming features like LoRAs, presets, and even video generation which require consistent collaboration. So consider this not just as an application for a one-off job, but an opportunity for a fruitful partnership to take this amazing project to its full potential. References gladly provided upon request! Thanks!

@Abdullahcoco

Hi Jovan, Let’s Create an AI Image Generation Pipeline with ControlNet Integration I specialize in fine-tuning AI models for image generation and have successfully implemented pose-based inputs, clothing, and background control in previous projects. My experience in optimizing models for speed, accuracy, and stability aligns perfectly with your project requirements. I am known for my strategic approach to problem-solving, ensuring that the final solution meets performance targets and delivers deterministic results. With a focus on maintaining prompt and visual accuracy, I am confident in my ability to build a robust image-to-image pipeline for your production needs. I am responsive, adaptable to different time zones, and open to discussing further details to align with your long-term development goals. Looking forward to discussing how we can achieve your vision together. Best regards, Abdullah

@InnovationExpert

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@GenoraLabs

Hello there, I understand that you are seeking an AI/ML engineer to fine-tune an open-source image generation model and develop an image-to-image pipeline that includes pose-based inputs, clothing, character, and background control for production use. I plan to handle this project by meticulously fine-tuning the AI model, implementing ControlNet pose conditioning, enabling image-to-image generation, ensuring strong prompt and visual accuracy, producing deterministic results, and delivering a clean inference API (REST or gRPC). Core Deliverables: - Building an SDXL (or similar) image generation pipeline - Adding ControlNet pose conditioning - Enabling image-to-image generation - Maintaining strong prompt + visual accuracy - Producing deterministic results - Delivering a clean inference API (REST or gRPC) Expertise & Portfolio: I'll share the portfolio with you in the DM. Kindly ping me there. My experience with AI/ML engineering ensures quality, consistency, and smooth delivery. Invitation to Proceed: I'd be happy to discuss your project further and answer any questions. Best regards, Malaika

@tiaanrautenbach

I focus on building straightforward AI/ML pipelines that are easy to use, easy to maintain, and delivered without friction. For this project, I’ll keep the architecture clean, the flow simple, and the integration efficient. I will fine-tune an SDXL-based image generation model incorporating ControlNet for pose conditioning and deliver a robust image-to-image pipeline with strong visual and prompt accuracy. The system will produce deterministic, high-speed results within your 5–8 second target on a 4090 GPU and include a clean REST or gRPC inference API for production readiness. I have implemented diffusion model pipelines with pose controls and production-grade deployment in past projects. I’m ready to begin as soon as we confirm the scope and timeline. Regards, Tiaan