Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Wan-AI/Wan2.1-T2V-14B
+pipeline_tag: text-to-video
+tags:
+- text-to-video
+- text-to-image
+- lora
+- diffusers
+- template:diffusion-lora
+widget:
+- text: >-
+      f11m_n01r film noir, black and white video, a man in a dark trench coat and fedora stands under a flickering streetlamp in a deserted alley. Smoke drifts from a cigarette in his hand, and his face is partially obscured by the shadow of his hat. Rain slicks the pavement, reflecting the glow of distant headlights.
+  output:
+    url: example_videos/1.mp4
+- text: >-
+      f11m_n01r film noir, black and white video, a private investigator tails a suspect through a crowded speakeasy. The air is thick with cigarette smoke, and a jazz band plays softly as the suspect disappears into the shadows.
+  output:
+    url: example_videos/2.mp4
+- text: >-
+      f11m_n01r film noir, black and white video, two men in overcoats face off beneath an old iron bridge. One lights a match with a shaking hand, illuminating the barrel of a gun pointed at him. A train rumbles in the distance.
+  output:
+    url: example_videos/3.mp4
+- text: >-
+      f11m_n01r film noir,  black and white video, a woman in a long coat and gloves leans against the bar, a half-empty glass of whiskey in front of her. A jazz band plays in the background, their silhouettes blurred by the hazy cigarette smoke that fills the dimly lit club. She glances toward the door as if waiting for someone.
+  output:
+    url: example_videos/4.mp4
+---
+
+<div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;">
+  <h1 style="color: #24292e; margin-top: 0;">Film Noir Style LoRA for Wan2.1 14B T2V</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 T2V model and allows you to generate videos in style of old Film Noir movies!</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>Trained on the Wan2.1 14B T2V base model</li>
+      <li>Consistent results across different object and scenes types</li>
+      <li>Simple prompt examples that are 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://remade.ai/join-discord?utm_source=Huggingface&utm_medium=Social&utm_campaign=model_release&utm_content=noir" 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:
+
+- [film_noir_10_epochs.safetensors](./film_noir_10_epochs.safetensors) - LoRA Model File
+- [wan_txt2vid_lora_workflow.json](./workflow_T2V/wan_txt2vid_lora_workflow.json) - Wan T2V with LoRA Workflow for ComfyUI
+
+---
+<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;">f11m_n01r film noir, black and white video</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 prompting, check out the example prompts; this way of prompting seems to work very well.</p>
+
+
+  <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_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>
+    <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);">
+    <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 T2V</li>
+      <li><b>Training Data:</b> Trained on 3 minutes of video comprised of 34 short clips (each clip captioned separately) of various Film Noir clips.</li>
+      <li><b> Epochs:</b> 10</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>