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50 lines
2.7 KiB
Markdown
50 lines
2.7 KiB
Markdown
# Extension Features
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This document introduces some technologies related to the Diffusion models implemented in DiffSynth, which have significant application potential in image and video processing.
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- **[RIFE](https://github.com/hzwer/ECCV2022-RIFE)**: RIFE is a frame interpolation method based on real-time intermediate flow estimation. It uses a model with an IFNet structure that can quickly estimate intermediate flows end-to-end. RIFE does not rely on pre-trained optical flow models and supports frame interpolation at arbitrary time steps, processing through time-encoded inputs.
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In this code snippet, we use the RIFE model to double the frame rate of a video.
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```python
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from diffsynth import VideoData, ModelManager, save_video
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from diffsynth.extensions.RIFE import RIFEInterpolater
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model_manager = ModelManager(model_id_list=["RIFE"])
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rife = RIFEInterpolater.from_model_manager(model_manager)
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video = VideoData("input_video.mp4", height=512, width=768).raw_data()
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video = rife.interpolate(video)
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save_video(video, "output_video.mp4", fps=60)
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```
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- **[ESRGAN](https://github.com/xinntao/ESRGAN)**: ESRGAN is an image super-resolution model that can achieve a fourfold increase in resolution. This method significantly enhances the realism of generated images by optimizing network architecture, adversarial loss, and perceptual loss.
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In this code snippet, we use the ESRGAN model to quadruple the resolution of an image.
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```python
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from PIL import Image
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from diffsynth import ModelManager
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from diffsynth.extensions.ESRGAN import ESRGAN
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model_manager = ModelManager(model_id_list=["ESRGAN_x4"])
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esrgan = ESRGAN.from_model_manager(model_manager)
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image = Image.open("input_image.jpg")
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image = esrgan.upscale(image)
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image.save("output_image.jpg")
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```
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- **[FastBlend](https://arxiv.org/abs/2311.09265)**: FastBlend is a model-free video de-flickering algorithm. Flicker often occurs in style videos processed frame by frame using image generation models. FastBlend can eliminate flicker in style videos based on the motion features in the original video (guide video).
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In this code snippet, we use FastBlend to remove the flicker effect from a style video.
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```python
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from diffsynth import VideoData, save_video
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from diffsynth.extensions.FastBlend import FastBlendSmoother
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fastblend = FastBlendSmoother()
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guide_video = VideoData("guide_video.mp4", height=512, width=768).raw_data()
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style_video = VideoData("style_video.mp4", height=512, width=768).raw_data()
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output_video = fastblend(style_video, original_frames=guide_video)
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save_video(output_video, "output_video.mp4", fps=30)
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```
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