Samurai / README.md
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---
license: apache-2.0
language:
- en
base_model:
- Wan-AI/Wan2.1-I2V-14B-480P
- Wan-AI/Wan2.1-I2V-14B-480P-Diffusers
pipeline_tag: image-to-video
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- image-to-video
widget:
- text: >-
The video begins with a man. He begins the 54mur41 samurai transformation, and becomes a samurai. He is wearing a traditional samurai outfit, and is holding a katana. The background behind him is a misty mountainous landscape.
output:
url: example_videos/man_samurai.mp4
- text: >-
The video begins with a rabbit. The rabbit begins the 54mur41 samurai transformation, and becomes a samurai. The rabbit is wearing a traditional samurai outfit, and is holding a katana. The background behind the rabbit is a misty mountainous landscape.
output:
url: example_videos/rabbit_samurai.mp4
---
<div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;">
<h1 style="color: #24292e; margin-top: 0;">Samurai Effect LoRA for Wan2.1 14B I2V 480p</h1>
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<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 make any person/object in an image become a Samurai version of themselves!</p>
</div>
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<h2 style="color: #24292e; margin-top: 0;">Features</h2>
<ul style="margin-bottom: 0;">
<li>Transform any image into a video of the subject as a Samurai version of themselves!</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>
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<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>
<Gallery />
# Model File and Inference Workflow
## 📥 Download Links:
- [samurai_50_epochs.safetensors](./samurai_50_epochs.safetensors) - LoRA Model File
- [wan_I2V_LoRA_workflow.json](./wan_I2V_LoRA_workflow.json) - Wan I2V with LoRA Workflow for ComfyUI
---
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<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>
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<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;"> 54mur41 samurai transformation</code></p>
</div>
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<h2 style="color: #24292e; margin-top: 0;">Prompt Template</h2>
<p>For best results, try following the structure of the prompt examples above. These worked well for me.</p>
</div>
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<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>
<p>See the Downloads section above for the modified workflow.</p>
</div>
</div>
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<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>
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<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 35 seconds of video comprised of 7 short clips (each clip captioned separately) of people transforming into a Samurai!</li>
<li><b>Epochs:</b> 50</li>
</ul>
</div>
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<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>
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<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>