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Update forge_svd.py
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@@ -1,3 +1,4 @@
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import torch
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import gradio as gr
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import os
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import pathlib
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@@ -46,8 +47,10 @@ def predict(filename, width, height, video_frames, motion_bucket_id, fps, augmen
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model = opVideoLinearCFGGuidance.patch(model_raw, guidance_min_cfg)[0]
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init_image = numpy_to_pytorch(input_image)
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positive, negative, latent_image = opSVD_img2vid_Conditioning.encode(clip_vision, init_image, vae, width, height, video_frames, motion_bucket_id, fps, augmentation_level)
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del model_raw, _, vae, clip_vision, model, init_image, positive, negative, latent_image
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model_management.unload_all_models()
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model_management.soft_empty_cache()
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torch.cuda.empty_cache()
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output_latent = opKSampler.sample(model, sampling_seed, sampling_steps, sampling_cfg, sampling_sampler_name, sampling_scheduler, positive, negative, latent_image, sampling_denoise)
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output_pixels = opVAEDecode.decode(vae, output_latent)[0]
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return
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