inference works after changes added
new branch Stop backprop through kv_cache Enable timestep warping & using SelfForcing scheduler checkpoint text preprocessing ready fix rotary embedding Change Wan DiT to have 0 numerical diff with SF's Wan
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SolitaryThinker
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31f000d1cc
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@@ -9,9 +9,9 @@ def main():
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# If a local path is provided, FastVideo will make a best effort
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# attempt to identify the optimal arguments.
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generator = VideoGenerator.from_pretrained(
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"Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
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"Wan-AI/Wan2.1-T2V-14B-Diffusers",
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# FastVideo will automatically handle distributed setup
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num_gpus=1,
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num_gpus=4,
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use_fsdp_inference=True,
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dit_cpu_offload=False,
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vae_cpu_offload=False,
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@@ -25,9 +25,7 @@ def main():
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# sampling_param.image_path = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/astronaut.jpg"
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# Generate videos with the same simple API, regardless of GPU count
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prompt = (
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"A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
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"wide with interest. The playful yet serene atmosphere is complemented by soft "
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"natural light filtering through the petals. Mid-shot, warm and cheerful tones."
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"A watermelon wearing a helmet is crushed by a hydraulic press, causing it to flatten and burst open."
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)
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video = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True)
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# video = generator.generate_video(prompt, sampling_param=sampling_param, output_path="wan_t2v_videos/")
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@@ -35,11 +33,7 @@ def main():
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# Generate another video with a different prompt, without reloading the
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# model!
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prompt2 = (
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"A majestic lion strides across the golden savanna, its powerful frame "
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"glistening under the warm afternoon sun. The tall grass ripples gently in "
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"the breeze, enhancing the lion's commanding presence. The tone is vibrant, "
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"embodying the raw energy of the wild. Low angle, steady tracking shot, "
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"cinematic.")
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"The video shows a green and orange object being flattened as if it were under a hydraulic press, with the press moving down and compressing the object")
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video2 = generator.generate_video(prompt2, output_path=OUTPUT_PATH, save_video=True)
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