Remade-AI
/

Squish

@@ -6,23 +6,32 @@ base_model:
 - Wan-AI/Wan2.1-I2V-14B-480P
 pipeline_tag: image-to-video
 ---
-# Squish Effect LoRA for Wan2.1 14B I2V 480p
-## Overview
-This LoRA is trained on the Wan2.1 14B I2V 480p model and allows you to squish any object in an image. The effect works on a wide variety of objects, from animals to vehicles to people!
-## Features
-- Transform any image into a video of it being squished
-- Trained on the Wan2.1 14B 480p I2V base model
-- Consistent results across different object types
-- Simple prompt structure that's easy to adapt
-## Community
-- **Discord:** [Join our community](https://discord.com/invite/7tsKMCbNFC) to generate videos with this LoRA for free
-- **Request LoRAs:** We're training and open-sourcing Wan2.1 LoRAs for free - join our Discord to make requests!
 ## Examples
@@ -83,51 +92,62 @@ This LoRA is trained on the Wan2.1 14B I2V 480p model and allows you to squish a
   </tr>
 </table>
-## Usage
-### Recommended Settings
-- **LoRA Strength:** 1.0
-- **Embedded Guidance Scale:** 6.0
-- **Flow Shift:** 5.0
-### Trigger Words
-The key trigger phrase is: `sq41sh squish effect`
-### Prompt Template
-For best results, use this prompt structure:
-_In the video, a miniature [object] is presented. The [object] is held in a person's hands. The person then presses on the [object], causing a sq41sh squish effect. The person keeps pressing down on the [object], further showing the sq41sh squish effect._
-Simply replace `[object]` with whatever you want to see squished!
-## ComfyUI Workflow
-This LoRA works with a modified version of [Kijai's Wan Video Wrapper workflow](https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/main/example_workflows/wanvideo_480p_I2V_example_02.json). The main modification is adding a Wan LoRA node connected to the base model.
-![Workflow Screenshot](./workflow/workflow_screenshot.png)
-You can download my modified workflow here:
-[Download Squish Effect Workflow](./workflow/wan_img2video_lora_workflow.json)
-## Download
-Weights for this model are available in Safetensors format.
-[Download squish_18.safetensors](./squish_18.safetensors) from the Files & versions tab.
-## Training Details
-- **Base Model:** Wan2.1 14B I2V 480p
-- **Training Data:** 1.5 minutes of video (20 short clips of things being squished)
-- **Epochs:** 18
-## Additional Information
-[Diffusion Pipe for Training](https://github.com/tdrussell/diffusion-pipe)
-## Acknowledgments
-Special thanks to Kijai for the ComfyUI Wan Video Wrapper and tdrussell for the training scripts!

 - Wan-AI/Wan2.1-I2V-14B-480P
 pipeline_tag: image-to-video
 ---
+<div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;">
+  <h1 style="color: #24292e; margin-top: 0;">Squish Effect 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>This LoRA is trained on the Wan2.1 14B I2V 480p model and allows you to squish any object in an image. The effect works on a wide variety of objects, from animals to vehicles to people!</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>Transform any image into a video of it being squished</li>
+      <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><b>Discord:</b> <a href="https://discord.com/invite/7tsKMCbNFC" style="color: #0366d6; text-decoration: none;">Join our community</a> to generate videos with this LoRA for free</li>
+      <li><b>Request LoRAs:</b> We're training and open-sourcing Wan2.1 LoRAs for free - join our Discord to make requests!</li>
+    </ul>
+  </div>
+</div>
 ## Examples
   </tr>
 </table>
+<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;">sq41sh squish 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 best results, use this prompt structure:</p>
+    <div style="background-color: #f0f0f0; padding: 12px; border-radius: 6px; margin: 10px 0;">
+      <i>In the video, a miniature [object] is presented. The [object] is held in a person's hands. The person then presses on the [object], causing a sq41sh squish effect. The person keeps pressing down on the [object], further showing the sq41sh squish effect.</i>
+    </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>You can download my modified workflow here:<br>
+    <a href="./workflow/wan_img2video_lora_workflow.json" style="display: inline-block; padding: 8px 16px; background-color: #0366d6; color: white; text-decoration: none; border-radius: 4px; font-weight: bold; margin-top: 10px;">Download Squish Effect Workflow</a></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;">Download</h2>
+    <p>Weights for this model are available in Safetensors format.</p>
+    <a href="./squish_18.safetensors" style="display: inline-block; padding: 8px 16px; background-color: #0366d6; color: white; text-decoration: none; border-radius: 4px; font-weight: bold;">Download squish_18.safetensors</a>
+  </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>