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  ## 📥 Download Links:
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- - [rotate_20_epochs.safetensors](./rotate_20_epochs.safetensors) - LoRA Model File
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- - [wan_img2vid_lora_workflow.json](./workflow/wan_img2vid_lora_workflow.json) - Wan I2V with LoRA Workflow for ComfyUI
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  ---
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  <div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;">
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  <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
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  <h2 style="color: #24292e; margin-top: 0;">Trigger Words</h2>
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- <p>The key trigger phrase is: <code style="background-color: #f0f0f0; padding: 3px 6px; border-radius: 4px;">r0t4tion 360 degrees rotation</code></p>
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  </div>
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  <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
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  <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
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  <h2 style="color: #24292e; margin-top: 0;">ComfyUI Workflow</h2>
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- <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>
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  <img src="./workflow/workflow_screenshot.png" style="width: 100%; border-radius: 8px; margin: 15px 0; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
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  <p>See the Downloads section above for the modified workflow.</p>
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  </div>
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  <h2 style="color: #24292e; margin-top: 0;">Training Details</h2>
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  <ul style="margin-bottom: 0;">
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  <li><b>Base Model:</b> Wan2.1 14B I2V 480p</li>
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- <li><b>Training Data:</b> Trained on 30 seconds of video comprised of 12 short clips (each clip captioned separately) of things being rotated</li>
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  <li><b> Epochs:</b> 20</li>
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  </ul>
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  </div>
 
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  ## 📥 Download Links:
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+ - [zoom_call_10_epochs.safetensors](./zoom_call_10_epochs.safetensors) - LoRA Model File
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+ - [wan_txt2vid_lora_workflow.json](./workflow/wan_txt2vid_lora_workflow.json) - Wan T2V with LoRA Workflow for ComfyUI
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  ---
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  <div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;">
 
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  <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
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  <h2 style="color: #24292e; margin-top: 0;">Trigger Words</h2>
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+ <p>The key trigger phrase is: <code style="background-color: #f0f0f0; padding: 3px 6px; border-radius: 4px;">[z00m_ca11]</code></p>
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  </div>
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  <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
 
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  <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
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  <h2 style="color: #24292e; margin-top: 0;">ComfyUI Workflow</h2>
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+ <p>This LoRA works with a modified version of <a href="https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/main/example_workflows/wanvideo_T2V_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>
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  <img src="./workflow/workflow_screenshot.png" style="width: 100%; border-radius: 8px; margin: 15px 0; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
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  <p>See the Downloads section above for the modified workflow.</p>
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  </div>
 
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  <h2 style="color: #24292e; margin-top: 0;">Training Details</h2>
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  <ul style="margin-bottom: 0;">
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  <li><b>Base Model:</b> Wan2.1 14B I2V 480p</li>
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+ <li><b>Training Data:</b> Trained on 2 minutes of video comprised of 28 short clips (each clip captioned separately) of various Zoom call recordings.</li>
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  <li><b> Epochs:</b> 20</li>
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  </ul>
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  </div>