artificialguybr / AxialView-Redmond-WAN2-T2V-14B

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Total runs: 45
24-hour runs: 0
7-day runs: 7
30-day runs: 15
Model's Last Updated: July 21 2026
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Introduction of AxialView-Redmond-WAN2-T2V-14B

Model Details of AxialView-Redmond-WAN2-T2V-14B

AxialView LoRA for Wan

Prompt
AxialView. Extreme wide aerial shot of a perfect circular coral atoll, turquoise lagoon surrounded by white sand reef barrier. Schools of manta rays swim in synchronized circles through the crystal water below. Style: Tropical aerial cinematography, gradient blues from deep ocean to pale lagoon, pristine ecosystem with geographic perfection.
Prompt
AxialView. Extreme wide aerial shot of a massive circular stadium at night, viewed from directly above. The field displays a choreographed light show with thousands of performers holding LED lights, creating pulsing mandala patterns that shift from blue to gold. Style: High-contrast night photography, neon against deep black, symmetrical human geometry with cinematic scale.
Prompt
AxialView. Extreme wide aerial shot of a natural ocean maelstrom, water spiraling violently downward in perfect circular motion. A rescue helicopter hovers at the edge, its spotlight piercing the vortex center where a small vessel struggles. Style: Emergency cinematography, stormy grays with piercing white spotlight, maritime peril with dramatic tension.
Prompt
AxialView. Extreme wide aerial shot of a massive circular particle collider facility, the ring structure embedded in landscape like ancient monument. Tiny access roads trace the circumference while cooling towers emit symmetrical steam plumes. Style: Scientific aerial photography, industrial grays with hi-tech blues, cutting-edge physics with brutalist architecture.
Prompt
AxialView. A sequence of four shots, each showing circular industrial machinery in motion from above. Begin with a jet engine turbine spinning during testing. Cut to a circular saw blade cutting through metal, sparks radiating outward. Cut to a massive ship propeller rotating underwater, bubbles creating vortex patterns. Final cut to a hydroelectric turbine seen through clear water. Style: Industrial realism, metallic blues and steel grays, raw mechanical power with hypnotic rhythm.
Prompt
AxialView. Extreme wide aerial shot of a supercell storm system from above, clouds rotating in perfect circular formation around the eye. Lightning strikes illuminate the structure from within as the vortex tightens. Style: Meteorological cinematography, electric purples and storm grays, atmospheric fury with scientific awe.

Special Thanks:
This project was made possible thanks to generous sponsorship and GPU time provided by reDMOND Ai .
We are grateful for their support in training this LoRA.


Model Description

This LoRA specializes in creating stunning axial view (top-down) imagery with a focus on circular patterns and symmetrical compositions. It excels at producing dramatic aerial shots that reveal geometric perfection in both natural and man-made structures, from coral atolls and storm systems to stadiums and industrial machinery.

This version is specifically adapted for use with Wan-AI models, like Wan2.2-T2V-A14B .

Trigger Words

The trigger phrase is AxialView .

For best results, start your prompt with "AxialView." followed by a description of a scene viewed from directly above, emphasizing circular patterns, symmetry, and geometric arrangements. The model will create visually striking compositions that reveal the beauty of top-down perspectives.

Setup for ComfyUI

To use this LoRA in ComfyUI, simply place the file in your loras directory:

  • Download AxialView-WAN22.safetensors and place it in ComfyUI/models/loras/

Ensure your ComfyUI environment is already configured to run Wan models.

Example Workflow (ComfyUI)

In your ComfyUI workflow, add a Load LoRA node after your base model loader.

  1. Load your base Wan model.
  2. Connect the output of the model loader to the model input of the Load LoRA node.
  3. Select AxialView-WAN22.safetensors in the Load LoRA node.
  4. Connect the MODEL output of the LoRA node to your KSampler.
  5. Adjust the strength_model as needed (0.8-1.0 is a good starting point).
References

🌐 Website

You can find more of my models, projects, and information on my official website:

💖 Support My Work

If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.

Runs of artificialguybr AxialView-Redmond-WAN2-T2V-14B on huggingface.co

45
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24-hour runs
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3-day runs
7
7-day runs
15
30-day runs

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