AI Animated NFC Product Interactions
Budget / Salary$30–250
TypeFreelance project
LocationRemote
Posted1 hour ago
Project title
3D-AI Animator for NFC Product Video (hand-tap interaction, hyperrealistic)
Description
I'm looking for a specialist experienced in AI-assisted generative animation (ComfyUI, Stable Diffusion/FLUX + ControlNet, IP-Adapter, or an equivalent pipeline) to produce 3 short video sequences showing a person tapping a smartphone on physical NFC products (keychains, counter plates, wall plates).
I have 3D model files (.GLB) of the products and reference renders to guarantee brand fidelity. The focus of this project is achieving photorealism in the hand-object-phone interaction, without altering the design, logo, or geometry of the real product.
Non-negotiable technical requirements
Product fidelity: the product in the final video must be identical to the provided GLB/sample (shape, color, texture, branding) — no hallucinated logos, QR codes, or textures.
Correct hand anatomy: no artifacts, deformations, or incorrect number of fingers.
Lighting coherence: contact shadows, reflections, and depth of field consistent with each scene's environment.
Real proportions: size relationship between phone, hand, and NFC device must be anthropometrically correct.
Resolution: minimum 2K export, suitable for web and video.
Atomic deliverable
Each "shot" = 1 scene (product + context + interaction) at a specific angle/framing, 3-4 seconds long, approved against the criteria above. All variants are quoted based on this base unit.
The 3 animations to produce
1. Object swap — fixed table
Camera and table are fixed. The same hand and phone perform the tap across all 3 variants. What changes between shots: lighting, and the product itself (WhatsApp version → Instagram → Web). The phone screen should display the corresponding app in each version (can be handled as a post-production overlay, not necessarily AI-generated). Duration: 3-4 sec per variant.
2. Counter display with selection
All product models are laid out on a counter. A person (torso/arm visible, never full body) appears and taps on one specific item. This is the shot with the most character visibility of the three.
3. Narrative journey (3 moments)
A sequence of 3 scenes with WhatsApp-branded products, each with a different background, character, and object (no repeated character between scenes):
Keychain on a personal keyring
Tap on a counter-display object
Tap on a wall plate, while the person is leaving the location (compound action: tap + exit in the same shot)
Constant across all 3 scenes: same angle and same proximity/framing to the object, even as background, character, and product change. The person is never shown full-body in any shot.
What I'll provide
.GLB files for all products
Reference renders (multiple angles, neutral background)
Real product measurements
Specification of critical brand zones (logo, QR code, non-modifiable textures)
What I'm looking for
Proven experience with ControlNet/IP-Adapter/LoRA on real product imagery
Portfolio of prior hand-object interaction work (essential — please include examples)
Ability to generate short animation (3-4 sec) with temporal consistency, not just static images
Nice to have: compositing experience (Nuke/After Effects) for the phone screen overlay
Final deliverables
5 shots total (3 variants for idea 1 + 1 shot for idea 2 + 3 shots for idea 3 — final count to confirm)
Format: video, minimum 2K, [add total duration/fps preference]
Maximum [N] revision rounds included per shot
Budget and timeline
[to be defined]
3D-AI Animator for NFC Product Video (hand-tap interaction, hyperrealistic)
Description
I'm looking for a specialist experienced in AI-assisted generative animation (ComfyUI, Stable Diffusion/FLUX + ControlNet, IP-Adapter, or an equivalent pipeline) to produce 3 short video sequences showing a person tapping a smartphone on physical NFC products (keychains, counter plates, wall plates).
I have 3D model files (.GLB) of the products and reference renders to guarantee brand fidelity. The focus of this project is achieving photorealism in the hand-object-phone interaction, without altering the design, logo, or geometry of the real product.
Non-negotiable technical requirements
Product fidelity: the product in the final video must be identical to the provided GLB/sample (shape, color, texture, branding) — no hallucinated logos, QR codes, or textures.
Correct hand anatomy: no artifacts, deformations, or incorrect number of fingers.
Lighting coherence: contact shadows, reflections, and depth of field consistent with each scene's environment.
Real proportions: size relationship between phone, hand, and NFC device must be anthropometrically correct.
Resolution: minimum 2K export, suitable for web and video.
Atomic deliverable
Each "shot" = 1 scene (product + context + interaction) at a specific angle/framing, 3-4 seconds long, approved against the criteria above. All variants are quoted based on this base unit.
The 3 animations to produce
1. Object swap — fixed table
Camera and table are fixed. The same hand and phone perform the tap across all 3 variants. What changes between shots: lighting, and the product itself (WhatsApp version → Instagram → Web). The phone screen should display the corresponding app in each version (can be handled as a post-production overlay, not necessarily AI-generated). Duration: 3-4 sec per variant.
2. Counter display with selection
All product models are laid out on a counter. A person (torso/arm visible, never full body) appears and taps on one specific item. This is the shot with the most character visibility of the three.
3. Narrative journey (3 moments)
A sequence of 3 scenes with WhatsApp-branded products, each with a different background, character, and object (no repeated character between scenes):
Keychain on a personal keyring
Tap on a counter-display object
Tap on a wall plate, while the person is leaving the location (compound action: tap + exit in the same shot)
Constant across all 3 scenes: same angle and same proximity/framing to the object, even as background, character, and product change. The person is never shown full-body in any shot.
What I'll provide
.GLB files for all products
Reference renders (multiple angles, neutral background)
Real product measurements
Specification of critical brand zones (logo, QR code, non-modifiable textures)
What I'm looking for
Proven experience with ControlNet/IP-Adapter/LoRA on real product imagery
Portfolio of prior hand-object interaction work (essential — please include examples)
Ability to generate short animation (3-4 sec) with temporal consistency, not just static images
Nice to have: compositing experience (Nuke/After Effects) for the phone screen overlay
Final deliverables
5 shots total (3 variants for idea 1 + 1 shot for idea 2 + 3 shots for idea 3 — final count to confirm)
Format: video, minimum 2K, [add total duration/fps preference]
Maximum [N] revision rounds included per shot
Budget and timeline
[to be defined]
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