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use correct lora scaling for final test pipeline
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@@ -1151,7 +1151,6 @@ def main(args):
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)
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def encode_video(video):
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print(video.shape)
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video = video.to(accelerator.device, dtype=vae.dtype).unsqueeze(0)
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video = video.permute(0, 2, 1, 3, 4) # [B, C, F, H, W]
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latent_dist = vae.encode(video).latent_dist
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@@ -1475,7 +1474,9 @@ def main(args):
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pipe.scheduler = CogVideoXDPMScheduler.from_config(pipe.scheduler.config)
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# Load LoRA weights
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pipe.load_lora_weights(args.output_dir)
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lora_scaling = args.lora_alpha / args.rank
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pipe.load_lora_weights(args.output_dir, adapter_name="cogvideox-lora")
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pipe.set_adapters(["cogvideox-lora"], [lora_scaling])
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# Run inference
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validation_outputs = []
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