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@@ -388,6 +388,15 @@ python animatediff_controlnet_sdxl_run_script.py girl_beach.mp4 \
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  - Upscaled:
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  <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/uwUDYOPiZbHuq5v6jWADr.mp4"></video>
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  ## Conclusion
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  This script demonstrates how to use the `diffusers-sdxl-controlnet` library to generate animated images with ControlNet and SDXL models. By following the steps outlined above, you can create and visualize your own animated sequences.
 
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  <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/uwUDYOPiZbHuq5v6jWADr.mp4"></video>
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+ ### Some Other Samples
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+ - produce_gif_script.py
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+ ```bash
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+ python produce_gif_script.py xiangling_video_seed.csv "svjack/GenshinImpact_XL_Base" xiangling_gif_dir \
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+ --num_frames 16 --temp_folder temp_frames --seed 0 --controlnet_conditioning_scale 0.3
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+ ```
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+ ![image/gif](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/R2SpiNASjQj8k_wrZDJA5.gif
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+ ![image/gif](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/ssJZD1SXLLu4EdpSZKcP2.gif)]()
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  ## Conclusion
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  This script demonstrates how to use the `diffusers-sdxl-controlnet` library to generate animated images with ControlNet and SDXL models. By following the steps outlined above, you can create and visualize your own animated sequences.