Update README.md

README.md

@@ -54,7 +54,7 @@ widget:
   <h2 style="color: #24292e; margin-top: 0;">Community</h2>
   <ul style="margin-bottom: 0;">
     <li>
-      <b>Discord:</b> 
+      <b>Company:</b> 
       <a href="https://www.vvicat.com/" style="color: #0366d6; text-decoration: none;">
         Join us to generate interesting video models together
       </a> to generate videos with this LoRA for free
@@ -140,37 +140,4 @@ export_to_video(output, "output.mp4", fps=16)
     </div>
     <p>Simply replace <code style="background-color: #f0f0f0; padding: 3px 6px; border-radius: 4px;">[object]</code> with whatever you want to see squished!</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;">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/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> 1.5 minutes of video (20 short clips of things being squished)</li>
-      <li><b>Epochs:</b> 18</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>
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