Checking weights ⏳ Downloading rife47.pth to ComfyUI/models/checkpoints ⌛️ Downloaded rife47.pth in 0.14s, size: 20.36MB ✅ rife47.pth ⏳ Downloading svd_xt_1_1.safetensors to ComfyUI/models/checkpoints ⌛️ Downloaded svd_xt_1_1.safetensors in 2.78s, size: 4558.59MB ✅ svd_xt_1_1.safetensors ==================================== Checking inputs Downloading https://cdn.basedlabs.ai/efd37cdc-a272-4f76-9929-a037fb0792a5.png to /tmp/inputs/efd37cdc-a272-4f76-9929-a037fb0792a5.png ✅ /tmp/inputs/efd37cdc-a272-4f76-9929-a037fb0792a5.png ==================================== Randomising seed to 4054655787 Running workflow got prompt Executing node 15, title: Image Only Checkpoint Loader (img2vid model), class type: ImageOnlyCheckpointLoader model_type V_PREDICTION_EDM adm 768 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. 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'conditioner.embedders.3.encoder.encoder.mid.attn_1.proj_out.weight', 'conditioner.embedders.3.encoder.encoder.mid.attn_1.q.bias', 'conditioner.embedders.3.encoder.encoder.mid.attn_1.q.weight', 'conditioner.embedders.3.encoder.encoder.mid.attn_1.v.bias', 'conditioner.embedders.3.encoder.encoder.mid.attn_1.v.weight', 'conditioner.embedders.3.encoder.encoder.mid.block_1.conv1.bias', 'conditioner.embedders.3.encoder.encoder.mid.block_1.conv1.weight', 'conditioner.embedders.3.encoder.encoder.mid.block_1.conv2.bias', 'conditioner.embedders.3.encoder.encoder.mid.block_1.conv2.weight', 'conditioner.embedders.3.encoder.encoder.mid.block_1.norm1.bias', 'conditioner.embedders.3.encoder.encoder.mid.block_1.norm1.weight', 'conditioner.embedders.3.encoder.encoder.mid.block_1.norm2.bias', 'conditioner.embedders.3.encoder.encoder.mid.block_1.norm2.weight', 'conditioner.embedders.3.encoder.encoder.mid.block_2.conv1.bias', 'conditioner.embedders.3.encoder.encoder.mid.block_2.conv1.weight', 'conditioner.embedders.3.encoder.encoder.mid.block_2.conv2.bias', 'conditioner.embedders.3.encoder.encoder.mid.block_2.conv2.weight', 'conditioner.embedders.3.encoder.encoder.mid.block_2.norm1.bias', 'conditioner.embedders.3.encoder.encoder.mid.block_2.norm1.weight', 'conditioner.embedders.3.encoder.encoder.mid.block_2.norm2.bias', 'conditioner.embedders.3.encoder.encoder.mid.block_2.norm2.weight', 'conditioner.embedders.3.encoder.encoder.norm_out.bias', 'conditioner.embedders.3.encoder.encoder.norm_out.weight', 'conditioner.embedders.3.encoder.post_quant_conv.bias', 'conditioner.embedders.3.encoder.post_quant_conv.weight', 'conditioner.embedders.3.encoder.quant_conv.bias', 'conditioner.embedders.3.encoder.quant_conv.weight']) Executing node 14, title: VideoLinearCFGGuidance, class type: VideoLinearCFGGuidance Executing node 31, title: Load Video (Path) 🎥🅥🅗🅢, class type: VHS_LoadVideoPath Requested to load CLIPVisionModelProjection Loading 1 new model Executing node 12, title: SVD_img2vid_Conditioning, class type: SVD_img2vid_Conditioning Requested to load AutoencodingEngine Loading 1 new model /root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.) return F.conv2d(input, weight, bias, self.stride, Executing node 3, title: KSampler, class type: KSampler Requested to load SVD_img2vid Loading 1 new model 0%| | 0/20 [00:00

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