Enchanting AI Persona Development - 10/02/2026 00:55 EST

@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

@Julian29

Hello, I have reviewed your requirement and understand you need a high-fidelity LoRA development for FLUX.1 [dev] and Wan 2.1, focused on consistent character likeness/style across high-res images and video, with strong temporal stability and optimized ComfyUI workflows. I have 10+ years of experience in AI model training and LoRA development, I can manage dataset curation, training, and validation while ensuring identity consistency and minimal flicker in motion. SCOPE OF WORK (DELIVERABLES): DATASET AUDIT & CREATION: Curate and caption high-quality images and video clips, using Danbooru/WD14 tagging or LLM captioning TRAINING & OPTIMIZATION: Multiple runs with tuning of learning rates, rank, alpha, and schedulers for best likeness TEMPORAL CONSISTENCY (WAN 2.1): Validate with motion clips to ensure no flicker/warping TESTING & VALIDATION: Sample sheet across prompts, styles, and aspect ratios FINAL DELIVERY: .safetensors files for both models Trigger words / embedding recommendations Optimized ComfyUI workflows (Flux + Wan) TOOLS & QUALIFICATIONS: Experienced with ComfyUI node setups, VRAM optimization, and crash troubleshooting Can provide public examples on Civitai/Hugging Face upon request I will provide 2 YEARS FREE ongoing support, complete source code/workflows, and work in an agile approach from scratch to delivery. I have some queries to ask regarding the project to proceed further. Awaiting your positive response. Thanks

@corpmember29

I HAVE TRAINED PRODUCTION-GRADE LORAs FOR FLUX & VIDEO MODELS WITH CONSISTENT IDENTITY ACROSS FRAMES — NO FLICKER, NO DRIFT. Hello, I’m an experienced AI technician specializing in high-fidelity LoRA training for FLUX.1 (Dev/Schnell) and Wan 2.1 (1.3B & 14B), with a strong focus on character likeness and style consistency across both high-resolution images and video generation. Scope & Approach • Dataset Creation & Audit: Curate, clean, and caption high-quality image/video datasets • Captioning: WD14/Danbooru tagging or LLM-based natural captions (task-appropriate) • Training & Optimization: Multiple runs with tuned LR, rank, alpha, and schedulers • Temporal Consistency: Proven workflows to minimize flicker/identity warping in Wan 2.1 • Validation: Prompt matrix testing across styles, poses, motion, and aspect ratios Tooling • Ostris AI-Toolkit, Musubi-Tuner, Kohya_ss • Advanced ComfyUI workflows for both Flux & Wan • VRAM optimization, crash recovery, and checkpoint validation Deliverables • Final .safetensors LoRA files • Recommended trigger words & strength ranges • Optimized ComfyUI workflows • Sample sheets (image + video consistency tests) Qualifications • Experience with Flux + Wan LoRA pipelines • Public LoRA examples (Civitai / Hugging Face if required) • Strong debugging of training instability & VRAM limits

@vasudharao9

Hi, I am a Computer Science graduate from UC Berkeley with a specialization in Artificial Intelligence. I have over 10 years of experience in the AI/ML. I have worked with WAN and Flux models and can help you with this project. Message me to discuss this further. Thanks

@tangramua

As an established IT company with over two decades of experience, our team is fully equipped to meet the demands of your sophisticated AI project. Not only do we have extensive expertise in Artificial Intelligence, Deep Learning, and Machine Learning, but we also bring a deep technical understanding of various domains that aligns precisely with your requirements. For instance, our fluency in Ostris AI-Toolkit, Musubi-tuner, and Kohya_ss will undoubtedly ease the dataset management and necessary training tasks. Whether it's curating high-quality datasets or ensuring temporal consistency in LoRA models for FLUX.1 and Wan 2.1, we have what it takes to meet your expectations. This not only includes proficiency with software like Danbooru/WD14 but also a deep understanding of ComfyUI nodes for Flux and Wan. Additionally, we have ample experience in troubleshooting VRAM constraints and training crashes — a skill that will prove invaluable during the development process. In conclusion, let us bring our proven track record and client-first approach to enable impactful progress for your enchanting AI persona development project. Kind regards Anton Sales Department Tangram Canada Inc

@vorasiddh4it

Hi Trista K., I provide Software Services for AI Model Engineering & Generative Media Pipelines. I’ve trained high-fidelity LoRA models for FLUX.1 (Dev/Schnell) and Wan 2.1 (1.3B/14B) to achieve stable character likeness / style consistency across high-res images and video—minimizing flicker and identity drift. What I’ll Deliver (Production-Ready LoRAs): 1️⃣ Curated image/video dataset + captions (WD14 / LLM tagging) 2️⃣ Multiple training runs (LR, rank/alpha sweeps) 3️⃣ Temporal consistency tuning for Wan 2.1 (reduced warping/flicker) 4️⃣ Validation sheet (prompts, aspect ratios, seeds) 5️⃣ Final .safetensors + trigger words 6️⃣ Optimized ComfyUI workflows (Flux + Wan) Techniques & Tooling (Software Services Workflow): • Ostris AI-Toolkit / Musubi-tuner / Kohya_ss • Dataset audit + class balance, frame sampling • LoRA rank/alpha ablation studies • EMA, LR schedulers, CFG robustness tests • VRAM optimization (xFormers, gradient checkpointing) • Crash recovery + resumable training Relevant Projects (Software Services Industry): • High-Fidelity Character LoRA (FLUX.1 Dev) • ComfyUI Gen Pipeline for Image→Video Why Me: ✔ Proven Flux + Wan LoRA training ✔ Flicker control for video consistency ✔ Clean delivery + reproducible workflows ✔ I can share demo checkpoints, logs & ComfyUI graphs before deal If you want, I’ll start with a dataset audit + mini-POC LoRA to lock likeness before full training.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create High-Fidelity LoRA Models for FLUX.1 and Wan 2.1 ❇️ Hi My Friend, I hope you are doing well. I reviewed your project needs and see you are looking for an AI technician to develop high-fidelity LoRA models. You don't need to look any further; Zohaib is here to help you! My team has completed over 50 similar projects in AI modeling. I will ensure the models achieve high character likeness and maintain consistency across images and video generation within your budget. ➡️ Why Me? I can easily create your LoRA models as I have 5 years of experience in AI modeling and machine learning. My expertise includes training LoRAs, dataset management, and optimizing model performance. Additionally, I have a strong grip on tools like Ostris AI-Toolkit, Musubi-tuner, and Kohya_ss. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ AI Modeling ✅ LoRA Training ✅ Dataset Curation ✅ Video Generation ✅ Image Processing ✅ Model Optimization ✅ Temporal Consistency ✅ Natural Language Captioning ✅ Troubleshooting VRAM Issues ✅ ComfyUI Proficiency ✅ Prompt Testing ✅ Quality Assurance Waiting for your response! Best Regards, Zohaib

@Feriver

Hello, I understand you are seeking a skilled AI technician to develop high-fidelity LoRA models for FLUX.1 [dev] and Wan 2.1, targeting consistent character likeness across high-resolution images and video generation. My approach will include auditing and curating a high-quality dataset, applying careful captioning strategies for both image and video sources, and executing multiple LoRA training runs using Ostris AI-Toolkit, Musubi-tuner, or Kohya_ss. I will optimize rank, alpha, and learning rate parameters to balance flexibility with likeness retention, ensuring temporal consistency in Wan 2.1 outputs. Deliverables will include fully trained .safetensors files, suggested trigger words, and optional ComfyUI workflows. Sample sheets demonstrating model performance across multiple prompts and aspect ratios will be provided, along with clear documentation for reproducibility. I have hands-on experience with LoRA training for both image and video-based AI models, including Flux and Wan architectures, and am familiar with handling VRAM limitations and ComfyUI node optimization for efficient workflow. Thanks, Asif

@jay8mac

Thank you for considering me for your Enchanting AI Persona Development project. I understand your need to develop high-fidelity LoRA models for FLUX.1 [dev] and Wan 2.1, aiming for [insert goal, e.g., high character likeness]. With my expertise in training LoRAs for FLUX.1 and Wan 2.1 models, proficiency in Ostris AI-Toolkit and more, you can expect quality results. I am keen to ensure temporal consistency for Wan 2.1 and deliver on tasks such as data auditing, training, testing, and final delivery with personalized insights additionally. Looking forward to the opportunity to collaborate on this innovative project. Regards, Jason McLachlan

@Microlent

Hello, this is a precision LoRA project not generic fine-tuning and the way you’ve framed temporal consistency, dataset quality, and cross-model fidelity tells me you know exactly where most attempts fail. Your real challenge is achieving identity/style lock that survives resolution changes and motion. That means disciplined dataset curation, correct rank/alpha tradeoffs, and separate-but-aligned strategies for FLUX.1 and Wan 2.1. I’ve trained LoRAs where flicker, drift, and overfitting were the primary risks—and solved them through iteration, not guesswork. How I’d execute * Audit and help build a clean, purpose-driven dataset * Caption using the right mix of WD14/Danbooru tags and natural-language captions depending on goal * Run multiple training passes, tuning rank/alpha, LR schedules, and steps per model * Validate with structured prompt sheets * Deliver final `.safetensors`, trigger words, and optimized ComfyUI workflows * Troubleshoot VRAM limits and stabilize training runs as needed Relevant strengths FLUX.1 (Dev/Schnell) and Wan 2.1 LoRA training, Ostris AI-Toolkit, Musubi-tuner, Kohya_ss, dataset engineering, temporal consistency testing, ComfyUI pipelines. A few quick questions: 1. Is the target a real person, fictional character, or pure style? 2. Do you want maximum likeness or more prompt flexibility? 3. What GPU/VRAM constraints should I assume for training? Best, Jenifer

@devendrathakur12

Hello, I specialize in AI image and video models and have built & customized large scale LoRA systems for style and character consistency. The main challenge here is keeping strong likeness across high-res images and smooth video motion without flicker. I am certified in FLUX and diffusion model training, and I will solve this by building a clean dataset, smart captions, and running tuned LoRA training with the right rank and learning rates using Kohya_ss and Ostris AI-Toolkit. You’ll get stable results that work well in ComfyUI and real prompts. A few things I’d like to align: Is the goal one character or multiple? Do you want realism or stylized output? How long should video clips be for training? What GPU limits should we plan around? I focus on quality, not guesswork. Best regards, Dev S.

@mugencodes

Hello Trista, I am Jayabrata Bhaduri, a seasoned AI professional with over 10 years of expertise in AI Model Development and Content Creation. I have successfully developed AI models for various applications, including high-fidelity persona development. I have thoroughly reviewed your project requirements and am confident in my ability to deliver a solution that meets your expectations. I will utilize my experience in training LoRAs for FLUX.1 and Wan 2.1, proficiency with Ostris AI-Toolkit and dataset management skills to create consistent and high-quality AI personas for your project. Please feel free to connect with me in the chat to discuss further details and to address any specific requirements you may have. Regards, Jayabrata Bhaduri

@Haroon436

Hi, I’m a skilled AI technician with experience developing high-fidelity LoRA models for FLUX.1 [Dev] and Wan 2.1, with a focus on achieving consistent style and character likeness across images and video. Approach: • Dataset Creation & Curation – Assemble and caption high-quality images/videos for Flux and Wan, using LLM-assisted or Danbooru/WD14 tagging. • Training & Optimization – Conduct multiple training runs, tuning learning rates, rank/alpha, and other hyperparameters for optimal likeness and flexibility. • Temporal Consistency – Ensure Wan 2.1 LoRAs maintain identity/style across frames with minimal flicker or warping. • Testing & Validation – Deliver sample sheets showing model performance across prompts and aspect ratios. • Final Delivery – Provide .safetensors files, recommended trigger words, and optimized ComfyUI workflows. I have a strong portfolio on Civitai/Hugging Face and am adept at troubleshooting VRAM limitations and training stability. Ready to help you achieve high-quality, consistent LoRA models for both platforms.

@blazenicholas

I’ve worked on training LoRA models for FLUX.1 and Wan 2.1 before, and I understand the importance of maintaining consistent character likeness across both high-resolution images and video. Your focus on temporal consistency during motion aligns with my experience handling complex datasets and tuning models for this exact purpose. I may be new to Freelancer, but I bring solid experience to the table, including proficiency with tools like Kohya_ss and managing datasets with detailed captioning techniques. I’m confident in my ability to optimize training parameters and deliver robust models, complete with sample sheets and workflow recommendations. If you’d like, we can set up a quick, no-pressure chat to discuss your project further. Regards, Blaze Nicholas

@phpxpert89

Hello Trista K., I checked your project, and it looks interesting. This is something we already work on, so the requirements are clear from the start. We mainly work on AI Text-to-video, AI Model Development, AI Content Creation We focus on making things simple, reliable, and actually useful in real life not overcomplicated stuff. Let’s connect in chat and see if we’re a good fit for this. Best Regards, Ali nawaz

@simonp75

Hello Trista, I am Semen Papazov, an AI Model Development expert with over 10 years of experience. I have carefully reviewed your project requirements for developing high-fidelity LoRA models for FLUX.1 and Wan 2.1. My approach involves meticulous dataset curation, training with tools like Ostris AI-Toolkit, and ensuring temporal consistency in model outputs. I have a proven track record in website development, including AI integration. I would love to discuss your project further in detail. Best regards, Semen Papazov

@ofcjohandp

Attention AI Enthusiasts! I understand the need for high-fidelity LoRA models for FLUX.1 [dev] and Wan 2.1 with consistent character likeness in images and videos. I have 5 years of experience in developing AI models and have worked on similar projects offsite. My expertise includes training LoRAs, dataset curation, and ensuring temporal consistency. I've built systems that are fast, professional, and update-safe, ensuring 100% satisfaction. I’d love to chat about your project! Worst case, you get free advice that can guide your project. Regards, Herman Johan du Plessis

@CreativeVWriter

Hi Trista K. We would like to grab this opportunity and will work till you get 100% satisfied with our work. Please come over chat and discuss your requirement in a detailed way. Regards

@Aaleen110

Your search for high-fidelity LoRA models for FLUX.1 [dev] aligns perfectly with my recent work in fine-tuning diffusion models for consistent character personas. Having transitioned my workflow to the FLUX architecture, I’ve mastered the nuances of its transformer-based blocks to capture intricate facial features and specific aesthetic "enchantment" without the common pitfalls of overtraining. I recently completed a similar project developing a digital brand ambassador where maintaining skin texture and wardrobe consistency across complex prompts was the primary KPI, ensuring the persona remained distinct regardless of the environment or lighting. My technical approach centers on dataset integrity and precise hyperparameter tuning; I will curate 30–50 high-resolution images, utilizing natural language captioning to leverage FLUX’s superior prompt adherence over traditional tag-based methods. I utilize a specialized Kohya_ss pipeline, carefully balancing Rank and Alpha settings (typically 16/16 or 32/16) to ensure the LoRA is lightweight yet expressive enough to capture the "enchanting" qualities you require. To ensure production-ready quality, I implement a multi-stage validation process during training epochs, testing the persona against diverse lighting and stylistic seeds to guarantee it doesn't break under high guidance scales. To ensure we hit the exact look you're envisioning, are you aiming for a photorealistic enchantment or a more stylized, ethereal aesthetic for this persona? Also, do you already have the source imagery prepared, or would you like me to handle the upscaling and preprocessing to maximize the training fidelity? I am ready to share some recent FLUX outputs to demonstrate the level of detail we can achieve together. Feel free to message me here to discuss the persona’s specific traits; I’m open to a brief call if you’d like to align on the project milestones before we kick things off.