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README.md
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- Wan-AI/Wan2.1-T2V-14B
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pipeline_tag: text-to-video
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tags:
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- text-to-video
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- text-to-image
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- lora
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- diffusers
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- template:diffusion-lora
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widget:
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- text: >-
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vh5_c4m3r4 old VHS style, the video starts with a close-up shot of a wall covered in graffiti. The camera slowly pans to the right, revealing more of the wall and a door. It then pans left, revealing a man in a black t-shirt with his back to the camera. He reaches toward the door, then pulls it open. The video ends with a shot of the man walking through the doorway.
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output:
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url: example_videos/1.mp4
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- text: >-
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vh5_c4m3r4 old VHS style, the video shows a sandy beach with large rocks and a blue sky with some clouds. The waves are crashing on the shore. A person walks across the sand. The video is distorted, with horizontal lines and colored dots around the edges of the screen.
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output:
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url: example_videos/2.mp4
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- text: >-
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vh5_c4m3r4 old VHS style, the video starts with an overhead shot of a car driving down a straight, two-lane road with a white line down the middle. There is a wooden fence to the left of the road, followed by a field of dry grass. The grass is a yellowish-brown color. There are hills in the distance and a bright blue sky with white puffy clouds. The video is distorted, with horizontal lines and colored dots around the edges of the screen.
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output:
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url: example_videos/3.mp4
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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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<h1 style="color: #24292e; margin-top: 0;">Vintage VHS Style LoRA for Wan2.1 14B T2V</h1>
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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;">Overview</h2>
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<p>This LoRA is trained on the Wan2.1 14B T2V model and allows you to generate videos in the style of vintage VHS!</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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<h2 style="color: #24292e; margin-top: 0;">Features</h2>
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<ul style="margin-bottom: 0;">
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<li>Trained on the Wan2.1 14B T2V base model</li>
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<li>Consistent results across different object and scenes types</li>
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<li>Simple prompt examples that are easy to adapt</li>
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</ul>
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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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<h2 style="color: #24292e; margin-top: 0;">Community</h2>
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<ul style="margin-bottom: 0;">
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<li><b>Discord:</b> <a href="https://remade.ai/join-discord?utm_source=Huggingface&utm_medium=Social&utm_campaign=model_release&utm_content=vhs" style="color: #0366d6; text-decoration: none;">Join our community</a> to generate videos with this LoRA for free</li>
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<li><b>Request LoRAs:</b> We're training and open-sourcing Wan2.1 LoRAs for free - join our Discord to make requests!</li>
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</ul>
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</div>
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</div>
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<Gallery />
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# Model File and Inference Workflow
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## 📥 Download Links:
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- [vhs_20_epochs.safetensors](./vhs_20_epochs.safetensors) - LoRA Model File
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- [wan_txt2vid_lora_workflow.json](./workflow_T2V/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;">Recommended Settings</h2>
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<ul style="margin-bottom: 0;">
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<li><b>LoRA Strength:</b> 1.0</li>
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<li><b>Embedded Guidance Scale:</b> 6.0</li>
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<li><b>Flow Shift:</b> 5.0</li>
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</ul>
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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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<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;">vh5_c4m3r4 old VHS style</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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<h2 style="color: #24292e; margin-top: 0;">Prompt Template</h2>
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<p>For prompting, check out the example prompts; this way of prompting seems to work very well.</p>
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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_T2V/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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</div>
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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;">Model Information</h2>
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<p>The model weights are available in Safetensors format. See the Downloads section above.</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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<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 T2V</li>
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<li><b>Training Data:</b> Trained on 3 minutes of video comprised of 45 short clips (each clip captioned separately) of various old clips.</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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<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;">Additional Information</h2>
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<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>
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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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<h2 style="color: #24292e; margin-top: 0;">Acknowledgments</h2>
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<p style="margin-bottom: 0;">Special thanks to Kijai for the ComfyUI Wan Video Wrapper and tdrussell for the training scripts!</p>
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</div>
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</div>
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