Generative AI Training for Creative Production

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@muhammadali33345

You need hands-on LoRA training for both images and videos with repeatable datasets and quality fixes (identity drift, flicker, warping, bad anatomy). I will deliver an end-to-end workflow: dataset cleaning + caption/tag organization, consistent trigger-word strategy, and controlled training sweeps to balance overfitting/underfitting. For characters, I will enforce identity consistency via reference-based conditioning and pose/camera-aware sampling; for styles/products/costumes/environments via targeted dataset splits. For motion/camera, I will train/fine-tune motion LoRAs to improve frame-to-frame stability and reduce unstable backgrounds. I will also provide a testing loop with before/after generations and documented settings so you can reuse the pipeline across multiple client projects. I will incorporate ComfyUI/Kohya-style training steps (as preferred) and verify results through structured prompt scenarios using Which exact base models (e.g., SDXL/1.5 and video backbone) and target resolution/frame-rate will you use for the character image-to-video and video-to-video LoRA training?.

@naqashafzal

Hi, Naqash Afzal here. You’re not looking for generic “AI prompt writing” help—you need LoRA training that actually locks identity, style, motion, and camera behavior across image-to-video and video-to-video. That’s exactly where most bids fail, and where I focus for reliable creative production. I have 5 years of hands-on experience training image LoRAs and motion/video LoRAs for character consistency (reducing identity drift, flicker, warping, unstable backgrounds, and bad anatomy). I also build repeatable dataset-to-training workflows: cleaning, captioning/tagging, trigger word strategy, and rigorous before/after testing. My 2-step approach: First, I audit your current model/pipeline and define measurable targets (identity match, pose coverage, motion stability, frame consistency) while setting the right training plan for characters/styles/products and motion. Second, I run controlled training iterations (data quality improvements + hyperparameter sweeps), then deliver a tested LoRA pack with recommended inference settings and a repeatable procedure for new client assets. If you share a sample character/style and 20–50 reference frames (plus your preferred UI like ComfyUI/Kohya, if any), I’ll tell you the fastest path to results. Want to hop on a quick call to align on outputs and timelines? Regards, Naqash Afzal

@mykhaylob4

✋ Hi there. I can train image and video LoRAs for characters, styles, and motion with consistent results across production workflows. ✔️ I have rich experience training and fine-tuning diffusion models, including LoRA on FLUX.1-dev and SDXL for character consistency and style retention . I can reduce common issues like identity drift and flickering through careful dataset preparation and hyperparameter tuning . I will develop this by preparing and captioning your image/video datasets, using ComfyUI or Kohya workflows to train LoRAs , testing different settings (rank, learning rate, alpha) to improve output quality , building a repeatable training pipeline for multiple characters and client projects, and documenting the workflow so you can continue training new models efficiently. Please click the 'Chat' button to start our valuable conversation. Looking forward to collaborating with you! Best regards, Mykhaylo

@KrisuTechkul

Hi, I’m Krishna from Delhi. Thank you for the opportunity to submit our proposal for your project. We have carefully reviewed the project details, and based on our experience, my team and I are confident in our ability to deliver a successful solution. We are a team of 20+ AI engineers and have successfully completed 300+ projects across various domains. I would appreciate the opportunity to schedule a brief discussion to better understand your requirements and expectations. This would also allow us to share our approach and demonstrate how our expertise can add value to your project. Additionally, we have recently worked on similar projects and would be happy to share relevant insights and learnings that may be beneficial for your initiative. Looking forward to connecting with you. Thanks & Regards, Krishna Kant KrisuTechkul

@rahuldograarts

Hello, I see the project involves technical training on LoRA for image and video generation, which requires a nuanced understanding of AI and creative workflows. While I am specialized in visual design, illustration, and animation, I can provide insights and strategic guidance for integrating creative assets with AI workflows, particularly in character and style consistency. My expertise spans Adobe creative tools and motion graphics, which could help enhance your AI outputs through better storyboard and asset planning. I am keen to learn more about your specific training workflows and how I can align design principles to improve visual outcomes. Please share your current datasets and project objectives so I can suggest how my skills in creative production could complement your technical needs. What specific challenges have you encountered with current AI model outputs that you'd like to address? Thanks, Rahul

@necatitaha

Hello, I am a freelance AI/Data Scientist with hands-on experience in generative AI workflows, particularly focused on LoRA training for image and video generation models. I have practical experience working with diffusion-based models and training LoRAs for characters, styles, products, and motion consistency. My work includes dataset preparation (cleaning, captioning, tagging), fine-tuning training runs, and iterating on model outputs to improve identity consistency, reduce artifacts, and stabilize motion across image-to-video workflows. I have also worked with tools such as ComfyUI and Kohya-based training pipelines, along with Python and PyTorch for model experimentation and optimization. I am comfortable working with GPU-based training environments and cloud setups. I understand this is not a prompt engineering or dashboard job, but a hands-on model training role. My focus is on improving real output quality, fixing instability issues like drift, flickering, and anatomy errors, and building repeatable workflows for scalable character and style generation. I would be happy to share relevant examples of trained LoRAs, before/after results, and details of my workflow upon request. My rate and availability are flexible depending on project scope. Looking forward to collaborating. Best regards,

@Web1devloper

As a seasoned Data Scientist with over eight years of experience, my expertise stretches not only in the areas of Python and machine learning but in creating real machine generated content. While most data scientists would claim proficiency in AI and ML, I possess the practical experience which many don't have - training models, testing outputs, identifying weaknesses and improving them. While my data story-telling skills can help interpret AI-generated content trends, it is the knowledge I have garnered training models based on LoRA and GPU that make me perfect for this project in creative production. I wholeheartedly believe the mark of a great freelancer lies not only in their skill set but in their ability to adapt to novel challenges and learn quickly. As a result, I am adept with ComfyUI, Kohya training workflows, Diffusion-based image/video models, Image-to-video pipelines and many more. This familiarity allows coherent training across multiple characters and projects using the workflow we fine-tune together. My specialty has always been B2B projects- where stakes are higher when it comes to quality; and so I'd ensure that poor results like identity drift or flickering or bad anatomy wouldn't make it past the drawing board, let alone be part of your platform.

@coretus

Hi, I have strong experience building AI-powered applications, LLM integrations, RAG pipelines, model orchestration, and GPU-based AI deployments. While my primary expertise is production AI systems rather than LoRA research, I have hands-on experience working with diffusion models, ComfyUI workflows, Python, PyTorch, Docker, and cloud GPU environments. For your platform, I can help build scalable AI pipelines for image/video generation, dataset preparation, workflow automation, model integration, evaluation, and deployment. If required, I can also collaborate with LoRA specialists for advanced model training while ensuring the overall platform is production-ready. Regards, Anil

@tyronet2

Identity drift and motion inconsistency — the two problems you specifically called out — almost always trace back to dataset quality before they trace back to training hyperparameters. A character LoRA trained on inconsistent lighting, mixed art styles, or poorly cropped reference images will drift regardless of how carefully the learning rate and steps are tuned, so I'd treat dataset curation and captioning as the foundation, not a quick prep step before the "real" training work. My process for character/style LoRAs: curate a tight, visually consistent dataset (proper crop, consistent resolution, varied poses/angles to prevent overfitting to one pose), caption with clear trigger words and balanced tag density (not over-tagging, which dilutes the model's grip on the core identity), then iterate training runs checking for overfitting/underfitting signals — too rigid (no pose flexibility) versus too loose (identity drift) — before locking in final settings.

@NEHABHAT92

As an experienced and dynamic developer, I read your project requirements and saw a great opportunity to contribute positively. Though my profile may appear distinct from what you're looking for, my 9+ years of experience in web and mobile app development is rich in Python and Machine Learning, which are core skills you need for your AI-focused project. My experiences training AI models, conducting extensive testing, fixing issues, improving outputs and understanding how to make AI creations stay consistent is highly valuable. Additionally, I have comprehensive knowledge of important tools and technologies such as Python, PyTorch, Docker and Git that you prefer in a candidate. My familiarity with cloud GPU setup also bodes well for efficient operations throughout the course of this project. Considering your preference for creative production through image-to-video and video-to-video pipelines, my proficiency in mobile app development will be instrumental. Lastly not least, my commitment to providing top-notch service is unwavering. I am really interested in using my skills and experiences to help you achieve remarkable results on this project. My rates are competitive and I am readily available to begin work immediately. Let our collaboration turn your ideas into reality!

@shubhankar1967

Hi, I am an IITian with 10+ years of experience to develop similar projects ,I will deliver a high-quality solution using modern technologies and industry best practices. Kindly click on the chat button so I can share you my relavant projects. Lets connect

@smarketicsinc

You need absolute character consistency and motion stability across your production pipeline, eliminating identity drift and flickering once and for all. I will handle the entire technical pipeline—from cleaning and tagging your datasets to training high-fidelity LoRAs using Kohya and orchestrating the final image-to-video workflows in ComfyUI. You won't need to manage GPU environments or tweak hyperparameters; I'll deliver the optimized weights and the repeatable production workflow. My execution plan: 1. Dataset Optimization: Precise captioning and tagging to ensure the model learns the subject, not the noise. 2. LoRA Fine-tuning: Iterative training to balance flexibility and consistency, solving anatomy and warping issues. 3. Production Pipeline: Building a ComfyUI workflow for seamless I2V/V2V character persistence. Within the first 72 hours, I will deliver a sample trained LoRA or a detailed dataset audit to prove the quality of the training data. I specialize in the deep technical side of diffusion models—training weights and managing inference pipelines—not just prompting. Could you share a sample of the character or style you're currently struggling to stabilize?

@Ingjuanguzmane

Hello! I can help you with Generative AI Training for Creative Production. My budget is 37500.0 USD for 5 days. I will review the requirements, define the implementation steps, and deliver a working result with clear progress updates. Let's discuss the details.

@Jcrc2208

Pro LoRA & Video trainer. Expert in ComfyUI/Kohya, fixing identity drift & motion consistency. Ready!

@joshuak485

Hi, I hope you're doing well. I've delivered multiple hands-on LoRA image and video training projects focused on character, style, and motion consistency. Recently I trained character and motion LoRAs with Kohya and PyTorch to stop identity drift on 2k-frame clips, improving face-consistency and cutting flicker. I'd start by sampling/cleaning datasets, run Kohya scripts with pose conditioning, and iterate with low-rank adapters and regularization. Short tests first. Could we hop on a short call to confirm dataset shape, target characters, and preferred trigger words? Thank you, Joshua Kofoworola

@yusufs042

Hi there, I am a Software Developer and Engineer with a strong background in Python, data preparation, and building end-to-end AI pipelines. Your project immediately caught my attention because it focuses on the real technical engineering of Generative AI—maintaining character consistency and optimizing datasets—rather than just basic prompting. Here is how I can contribute to your creative production platform: 1. Dataset Pipeline & Tagging: I can help prepare, clean, and automate the captioning/tagging process for your image and video datasets using Python, ensuring optimal trigger words to avoid overfitting or underfitting. 2. LoRA Training & Fine-Tuning: Assisting in setting up stable training configurations (learning rates, epochs, network rank) to eliminate identity drift and flickering across image-to-video workflows. 3. Workflow Automation: Working with tools like ComfyUI, PyTorch, and Docker to build repeatable, robust pipelines that ensure face and style consistency across different camera angles and scenes. I understand the challenges of warping, unstable backgrounds, and bad anatomy, and I am ready to collaborate technically to refine your models. I'd love to chat more about your specific current infrastructure and GPU setup. Looking forward to working with you!

@alluankit01

Hi, I can support your generative AI creative production platform with hands-on LoRA training for images, styles, products, characters, costumes, props, environments, and video/motion consistency workflows. The best solution is to build a repeatable training pipeline: dataset collection, cleaning, captioning, trigger-word planning, tagging, training configuration, validation, output comparison, and tuning to reduce identity drift, flicker, bad anatomy, unstable backgrounds, warping, and poor motion. I can also document settings so the workflow can be reused across future client projects. I’m comfortable with LoRA training, image/video model fine-tuning, character consistency workflows, ComfyUI, Kohya-style training, diffusion models, image-to-video, video-to-video, pose/reference-guided generation, dataset preparation, Python, PyTorch, Docker, Git, and cloud GPU environments. Deliverables can include: * Image LoRA training workflow * Character/style/product LoRA setup * Video/motion LoRA workflow support * Dataset cleaning, captioning and tagging * Training experiments and quality comparison * Before/after output review * Repeatable workflow documentation * Guidance for future character/client projects This is model training and workflow optimization, not prompt writing. I can share relevant LoRA/process examples, tools used, availability, and pricing before starting. Best regards Ankit

@hinatai

Hello, I read your requirements carefully, and I understand you're looking for someone with real hands-on experience in LoRA training and AI model fine-tuning—not just prompt engineering. I have experience working with image and video generation workflows, including LoRA training, dataset preparation, captioning, ComfyUI pipelines, PyTorch-based training, and GPU optimization. I can build a repeatable workflow for character, style, and product LoRAs that maintains consistency across different poses, outfits, lighting conditions, and camera angles while minimizing identity drift, flickering, and unstable motion. My approach includes: * Preparing and cleaning high-quality image/video datasets. * Optimizing captions and trigger words. * Training and evaluating LoRAs with different hyperparameters to avoid overfitting and underfitting. * Testing outputs and refining models for consistent, production-ready results. * Building reusable ComfyUI workflows for image-to-video and video-to-video generation. I'm looking for a long-term collaboration and would be excited to contribute to your AI creative production platform. I can share details about my workflow, the tools I've worked with, my availability, and discuss the best approach for your project. Looking forward to working with you!