
LoRA Training Expert Needed
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$497
- Posted:
- Proposals: 10
- Remote
- #4477511
- OPPORTUNITY
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⭐ TOP CERT Graphic Designer ⭐| Expert 2D/3D Render | Video Animator | Web Developer |Logo Designer |Graphic Animations | Video Editor ||Illustration.

Full-Stack Web & Mobile App Developer With AI Integration & Automation Expertise
Data Science & Machine Learning Engineer | Web App developer | AI Application Development
119727789487324129038205041591123085901074983011935267128449071153758411926402
Description
Experience Level: Expert
We need an experienced LoRA trainer to create a high-quality SDXL identity/character LoRA for a creator-style project.
Non-negotiable deliverables:
Final LoRA exported as .safetensors (portable + we own it)
ComfyUI workflow JSON + recommended base checkpoint/settings
Training settings summary (steps, LR, rank/dim, resolution, etc.)
Trigger words + short prompt guide
15–30 sample outputs proving consistency (angles/lighting/outfits)
Important: No “account access” solutions. We need exported files that run locally.
When applying:
Examples of LoRAs you trained (images)
Confirm you can deliver .safetensors + ComfyUI JSON + training settings
Fixed price + timeline
Non-negotiable deliverables:
Final LoRA exported as .safetensors (portable + we own it)
ComfyUI workflow JSON + recommended base checkpoint/settings
Training settings summary (steps, LR, rank/dim, resolution, etc.)
Trigger words + short prompt guide
15–30 sample outputs proving consistency (angles/lighting/outfits)
Important: No “account access” solutions. We need exported files that run locally.
When applying:
Examples of LoRAs you trained (images)
Confirm you can deliver .safetensors + ComfyUI JSON + training settings
Fixed price + timeline
Projects Completed
106
Freelancers worked with
124
Projects awarded
14%
Last project
17 Feb 2026
Hungary
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1. How many training images will you supply (and at what quality/variety: angles, lighting, outfits)? Any captions provided or should we caption?
2. Which base SDXL checkpoint should the LoRA be trained against (or should we recommend one), and any constraints on VRAM/compute for local running?
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