diff --git a/extensions-builtin/sd_forge_svd/scripts/forge_svd.py b/extensions-builtin/sd_forge_svd/scripts/forge_svd.py
index a77f8c49..da4882f3 100644
--- a/extensions-builtin/sd_forge_svd/scripts/forge_svd.py
+++ b/extensions-builtin/sd_forge_svd/scripts/forge_svd.py
@@ -1,3 +1,4 @@
+import torch
 import gradio as gr
 import os
 import pathlib
@@ -46,8 +47,10 @@ def predict(filename, width, height, video_frames, motion_bucket_id, fps, augmen
     model = opVideoLinearCFGGuidance.patch(model_raw, guidance_min_cfg)[0]
     init_image = numpy_to_pytorch(input_image)
     positive, negative, latent_image = opSVD_img2vid_Conditioning.encode(clip_vision, init_image, vae, width, height, video_frames, motion_bucket_id, fps, augmentation_level)
+    del model_raw, _, vae, clip_vision, model, init_image, positive, negative, latent_image
     model_management.unload_all_models()
     model_management.soft_empty_cache()
+    torch.cuda.empty_cache()
     output_latent = opKSampler.sample(model, sampling_seed, sampling_steps, sampling_cfg, sampling_sampler_name, sampling_scheduler, positive, negative, latent_image, sampling_denoise)
     output_pixels = opVAEDecode.decode(vae, output_latent)[0]
     return