Stable Diffusion Jobs

I'm a full stack developer looking for a commission-based sales partner. You bring clients, I handle all delivery. I build: Web Apps, Android (Kotlin), iOS (Swift), Desktop (macOS/Windows/Linux/Steam), AI Automation, Stable Diffusion pipelines, E-commerce, SaaS, CRM integrations, REST APIs. Your role: - Find clients from Upwork, Fiverr, Freelancer, LinkedIn - Handle initial client communication - Pass project details to me Your earnings: - 20% commission per project - Paid immediately after client payment received - No cap, no upfront investment needed - 100% remote and flexible

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Realistic AI Avatar Artist Needed for HeyGen – Original Work Only We are looking for a highly skilled AI image creator / prompt engineer / retoucher to produce ultra-realistic human avatars for commercial use in HeyGen. This is not a stylized, cartoon, fantasy, or artistic portrait project. We need photorealistic avatars that look like real people, with natural skin texture, realistic proportions, clean hands, premium facial detail, and a commercial-quality result suitable for avatar-based video generation. Project Goal We need highly realistic male and female avatars, approximately 26 years old, created for use in HeyGen. The final images must be suitable for half body and full body use, with the subject facing straight toward the camera, eyes looking directly into the lens, and...

Busco apoyo para ampliar ComfyUI añadiendo nuevas funcionalidades centradas en el desarrollo y la optimización de flujos. Mi objetivo principal es: • Integrar módulos que faciliten la creación, edición y mantenimiento de flujos complejos. • Mejorar la eficiencia general de los flujos existentes y simplificar cada paso para que cualquier usuario pueda configurarlos sin pasos redundantes. • Incluir un soporte sólido que permita escalar o adaptar las soluciones en futuras iteraciones. Trabajo normalmente con Python y entornos basados en Stable Diffusion, por lo que agradeceré experiencia previa con estos stacks y con la arquitectura interna de ComfyUI. Necesito código limpio, documentado y con ejemplos funcionales qu...

I’m building an e-commerce line that specialises in traditional Indian women wear and I need accurate, visually rich AI models of Kurta-Pajamas to showcase the collection online. The focus is strictly on this single garment category, but each piece must look and feel authentic on screen. The assets have to capture three things perfectly: the fabric texture so shoppers can almost feel the weave, every stitch of embroidery in sharp relief, and true-to-life colour variations across the range. I’ll supply detailed reference photos, embroidery artwork in vector form, cloth swatches and exact colour codes. Your role is to turn those inputs into an AI-driven model (Stable Diffusion, ControlNet, custom GAN pipeline, Blender cloth sim—whatever you’re most comfortable with) ...

I’m mapping out how to fold Stable Diffusion into our React + Supabase stack so that line-level engineering sketches can be turned into polished, realistic visuals—and eventually full 2D-to-3D representations. To move ahead with confidence I need a concise, technically grounded report that tackles three areas, with a strong emphasis on API provider evaluation and, within that, rock-solid error-handling reliability. What I need you to cover • Comparative analysis of leading hosted Stable Diffusion endpoints—specifically and —bench-tested for latency, throughput, rate-limit fairness, and above all their error-handling behaviour (clear messages, retry semantics, fall-back options). Feel free to mention other credible providers only if they offer a distinct adv...

I want to turn a detailed concept I have into a fully-trained Stable Diffusion LoRA that can act as an AI influencer. The focus is on a realistic, human-like look—skin texture, hair, lighting, and anatomy should all pass as photographic. Once the model is dialed in, I’ll use it to generate both hyper-realistic lifestyle shots and more explicit sets, so the LoRA must hold up in a wide range of poses, outfits, and lighting scenarios. Here’s what I need from you: • Curate or create a clean, high-resolution training dataset that respects likeness rights and is balanced enough to avoid overfitting • Train a LoRA compatible with the current Stable Diffusion 1.5 and/or SDXL checkpoints (I’m open to either; let me know which you prefer) • Provide a simp...

I want a reproducible AI model that can take my raw portraits and return a polished, high-end beauty retouch that mirrors my own editing style. Think pristine yet realistic skin, flawless blemish removal and nuanced tonal work—no plasticky faces or over-smoothed texture. My current workflow lives in Photoshop and Capture One, but I’m open to any backend that gives the best fidelity; LoRA FLuX on a Stable Diffusion base has caught my eye, though I’m happy for you to suggest a stronger alternative if you can prove the advantage. What I will hand over • A curated set of before-and-after TIFFs/JPEGs—consistent lighting, color-managed, already retouched by me. What I need back • The trained model weights (.safetensors or compatible) ready to drop into...

I have a high-resolution, hand-drawn landscape illustration—think Mediterranean village nestled between green hills and a calm blue-purple sea. The colours lean heavily toward cool tones (blues, greens, purples), and the brush-stroked texture gives it a natural, painted feel. Your task is to introduce a smaller female character into this scene so she blends organically with the existing figures and environment. The style must be indistinguishable from the original artwork; no obvious AI artefacts, no mismatched lighting, and definitely no loss of painterly texture. If shifting or resizing a tree, stone wall, or background figure helps her sit naturally in the composition, feel free to do so—as long as the final piece remains cohesive. Because this illustration is already in...

We are looking for a hands-on AI pipeline engineer to design, install, configure, test, and document a fully local AI video studio on our hardware. This is not a generic video editing project. We are not looking for a traditional video editor or motion designer. We need someone with real experience building local GPU-based AI video workflows. The system must support practical daily use, not just demos. Main Deliverables 1. Character Video Transfer Pipeline * Transform recorded talking videos into a consistent custom character * Preserve facial expressions, lip sync, head motion, and as much upper-body motion as practical * Maintain stable identity and appearance across sessions * Support long-form outputs around 3–5 minutes * Be usable in real daily production, not only in one n...

I need a self-contained AI pipeline that turns plain sentences into fully rendered 2D animated videos. The entire workflow must run offline on our own GPU servers—no external APIs or cloud calls. Pipeline goals • Ingest: clean text input (full sentences) • Interpret: extract narrative, characters and scene cues with an LLM or rules-based NLP module • Generate: create on-model storyboards and keyframes, then interpolate to smooth 24-30 fps motion • Render: output MP4 or MOV at 1080p (minimum) with transparency-capable layers so we can later composite or edit • Export: knock-out audio placeholders so our sound team can sync voice-overs later Tech preferences I’m comfortable with PyTorch, Stable Diffusion/AnimateDiff, ControlNet, and Open-Sou...