Crane_up

<div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;"> <h1 style="color: #24292e; margin-top: 0;">Crane up LoRA for Wan2.1 14B I2V 480p</h1> <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> <h2 style="color: #24292e; margin-top: 0;">Overview</h2> <p>Lifts the camera smoothly upward to reveal a scene from above. Ideal for grand reveals, transitions, or adding cinematic elevation to a moment.This LoRA is trained on the Wan2.1 14B I2V 480p model. </p> </div> <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> <h2 style="color: #24292e; margin-top: 0;">Features</h2> <ul style="margin-bottom: 0;"> <li>Trained on the Wan2.1 14B 480p I2V base model</li> <li>Consistent results across different object types</li> <li>Simple prompt structure that's easy to adapt</li> </ul> </div> <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> <h2 style="color: #24292e; margin-top: 0;">Community</h2> <ul style="margin-bottom: 0;"> <li> Generate videos with 100+ Camera Control and VFX LoRAs on the <a href="https://app.remade.ai/canvas/create" style="color: #0366d6; text-decoration: none;">Remade Canvas</a>. </li> <li> <b>Discord:</b> <a href="https://remade.ai/join-discord?utm_source=Huggingface&utm_medium=Social&utm_campaign=model_release&utm_content=crane_up" style="color: #0366d6; text-decoration: none;"> Join our community </a> to generate videos with this LoRA for free </li> </ul> </div> <Gallery />

Model File and Inference Workflow

📥 Download Links:

• Crane_up.safetensors - LoRA Model File
• wan_img2vid_lora_workflow.json - Wan I2V with LoRA Workflow for ComfyUI

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<div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;"> <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> <h2 style="color: #24292e; margin-top: 0;">Recommended Settings</h2> <ul style="margin-bottom: 0;"> <li><b>LoRA Strength:</b> 1.0</li> <li><b>Embedded Guidance Scale:</b> 6.0</li> <li><b>Flow Shift:</b> 5.0</li> </ul> </div> <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> <h2 style="color: #24292e; margin-top: 0;">Trigger Words</h2> <p>The key trigger phrase is: <code style="background-color: #f0f0f0; padding: 3px 6px; border-radius: 4px;">cr4n3 crane up effect</code></p> </div> <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> <h2 style="color: #24292e; margin-top: 0;">Prompt Template</h2> <p>For prompting, check out the example prompts; this way of prompting seems to work very well.</p> <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> <h2 style="color: #24292e; margin-top: 0;">ComfyUI Workflow</h2> <p>This LoRA works with a modified version of <a href="https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/main/example_workflows/wanvideo_480p_I2V_example_02.json" style="color: #0366d6; text-decoration: none;">Kijai's Wan Video Wrapper workflow</a>. The main modification is adding a Wan LoRA node connected to the base model.</p> <img src="./workflow_I2V/workflow_screenshot.png" style="width: 100%; border-radius: 8px; margin: 15px 0; box-shadow: 0 4px 8px rgba(0,0,0,0.1);"> <p>See the Downloads section above for the modified workflow.</p> </div> </div> <div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;"> <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> <h2 style="color: #24292e; margin-top: 0;">Model Information</h2> <p>The model weights are available in Safetensors format. See the Downloads section above.</p> </div> <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> <h2 style="color: #24292e; margin-top: 0;">Training Details</h2> <ul style="margin-bottom: 0;"> <li><b>Base Model:</b> Wan2.1 14B I2V 480p</li> <li><b>Training Data:</b> Trained on 50 seconds of video comprised of 10 short clips (each clip captioned separately) of scenes that used the crane up camera motion.</li> <li><b> Epochs:</b> 30</li> </ul> </div> <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> <h2 style="color: #24292e; margin-top: 0;">Additional Information</h2> <p>Training was done using <a href="https://github.com/tdrussell/diffusion-pipe" style="color: #0366d6; text-decoration: none;">Diffusion Pipe for Training</a></p> </div> <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> <h2 style="color: #24292e; margin-top: 0;">Acknowledgments</h2> <p style="margin-bottom: 0;">Special thanks to Kijai for the ComfyUI Wan Video Wrapper and tdrussell for the training scripts!</p> </div> </div>