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@@ -389,6 +389,43 @@ python animatediff_controlnet_sdxl_run_script.py girl_beach.mp4 \
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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 \
@@ -397,6 +434,7 @@ python produce_gif_script.py xiangling_video_seed.csv "svjack/GenshinImpact_XL_B
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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.
 
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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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+
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+ #### Makise Kurisu in Steins Gate
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+ ```bash
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+ python animatediff_controlnet_sdxl_run_script.py girl_beach.mp4 \
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+ "1girl, Makise Kurisu, masterpiece, white lab coat, red tie, laboratory" \
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+ "cagliostrolab/animagine-xl-3.1" \
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+ Makise_Kurisu_animation_short.gif --num_frames 16 --temp_folder temp_frames --guidance_scale 20 --controlnet_conditioning_scale 0.3
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+ ```
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+ - Output: Makise_Kurisu_animation_short.gif
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+ ![image/gif](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/WZu1raXfuaHlmrzTTOBbz.gif)
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+ - Upscaled:
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+ <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/v69NuN5UsAokrfBNW_c9P.mp4"></video>
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+
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+ #### Souryuu Asuka Langley in EVA
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+ ```bash
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+ python animatediff_controlnet_sdxl_run_script.py girl_beach.mp4 \
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+ "1girl, souryuu asuka langley, masterpiece" \
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+ "cagliostrolab/animagine-xl-3.1" \
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+ asuka_langley_animation_short.gif --num_frames 16 --temp_folder temp_frames --guidance_scale 20 --controlnet_conditioning_scale 0.3 --num_inference_steps 50
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+ ```
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+ - Output: asuka_langley_animation_short.gif
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+ ![image/gif](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/wZVvYaYqpigXENEVJVGaM.gif)
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+ - Upscaled:
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+ <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/uusv36dl0NT80fpUeo5pA.mp4"></video>
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+
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+ ```bash
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+ python animatediff_controlnet_sdxl_run_script.py girl_beach.mp4 \
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+ "1girl, souryuu asuka langley, masterpiece, neon genesis evangelion, solo, upper body, v, smile, looking at viewer, outdoors, night" \
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+ "cagliostrolab/animagine-xl-3.1" \
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+ asuka_langley_animation_long.gif --num_frames 16 --temp_folder temp_frames --guidance_scale 20 --controlnet_conditioning_scale 0.3
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+ ```
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+ - Output: asuka_langley_animation_long.gif
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+ ![image/gif](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/qoLf2rKuGLnIW5liQg8tq.gif)
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+ - Upscaled:
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+ <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/T2iREkPkWXWCjzOHmq82-.mp4"></video>
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+
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+ #### XiangLing in Genshin Impact
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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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  ![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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+
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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.