ckpt
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@@ -1,6 +1,6 @@
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from fastvideo import VideoGenerator
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OUTPUT_PATH = "video_samples_wan2_2_5B_ti2v"
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OUTPUT_PATH = "video_samples_wan2_2_5B_ti2v_720p_77"
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def main():
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# FastVideo will automatically use the optimal default arguments for the
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# model.
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@@ -12,17 +12,29 @@ def main():
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# FastVideo will automatically handle distributed setup
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num_gpus=1,
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use_fsdp_inference=False, # set to True if GPU is out of memory
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dit_cpu_offload=True,
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dit_cpu_offload=False,
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vae_cpu_offload=False,
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text_encoder_cpu_offload=True,
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pin_cpu_memory=True, # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
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# image_encoder_cpu_offload=False,
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)
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import json, os
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with open("/mnt/weka/home/hao.zhang/wei/FastVideo/data/mixkit_i2v_720p.jsonl", "r") as f:
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prompt_image_pairs = json.load(f)
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for d in prompt_image_pairs:
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prompt = d["prompt"]
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image_path = os.path.join("/mnt/weka/home/hao.zhang/wei/FastVideo", d["image_path"])
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video = generator.generate_video(prompt, image_path=image_path, output_path=OUTPUT_PATH, output_video_name=OUTPUT_PATH, save_video=True, num_frames=77)
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return
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# I2V is triggered just by passing in an image_path argument
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prompt = "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside."
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image_path = "https://huggingface.co/datasets/YiYiXu/testing-images/resolve/main/wan_i2v_input.JPG"
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# prompt = "In the midst of the joyous New Year's Eve celebration, the cheerful group of friends, their spirits lifted by the festivities, decides to immortalize the moment with a vibrant snapshot"
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# image_path = "images/mixkit-a-cheerful-group-of-friends-celebrate-new-years-eve-and-51525.png"
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video = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True, image_path=image_path)
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return
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# Generate another video with a different prompt, without reloading the
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# model!
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