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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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A lone tree stands silhouetted against the backdrop of a wildfire consuming a vast forest, the sky filled with smoke. |
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output: |
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url: example_videos/fire1.mp4 |
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- text: >- |
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A wildfire rages across a field, with flames consuming the dry grass and smoke filling the sky above. |
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output: |
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url: example_videos/fire2.mp4 |
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- text: >- |
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A close-up view of a burning gas station at night, with flames engulfing the pumps and a chaotic scene unfolding. |
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output: |
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url: example_videos/fire3.mp4 |
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- text: >- |
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A small town is on [r3al_f1re] with many houses burning, smoke filling the air, and the sky glowing orange. |
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output: |
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url: example_videos/fire4.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;">Realistic Fire 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 of realistic fires!</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 scene 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://discord.com/invite/7tsKMCbNFC" 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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- [fire_12_epochs.safetensors](./fire_12_epochs.safetensors) - LoRA Model File |
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- [wan_txt2vid_lora_workflow.json](./workflow/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;">[r3al_f1re]</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. Including the key trigger phrase is not required, as long as the fire and the scene are described 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/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 2 minutes of video comprised of 26 short clips (each clip captioned separately) of various real fires.</li> |
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<li><b> Epochs:</b> 12</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> |
