Checking inputs ==================================== Checking weights ⏳ Downloading sd_xl_refiner_1.0.safetensors to ComfyUI/models/checkpoints ⌛️ Downloaded sd_xl_refiner_1.0.safetensors in 12.02s, size: 5794.51MB ✅ sd_xl_refiner_1.0.safetensors ⏳ Downloading sd_xl_base_1.0.safetensors to ComfyUI/models/checkpoints ⌛️ Downloaded sd_xl_base_1.0.safetensors in 11.85s, size: 6616.67MB ✅ sd_xl_base_1.0.safetensors ==================================== Randomising noise_seed to 275039257 Randomising noise_seed to 453715346 Running workflow got prompt Executing node 12, title: Load Checkpoint - REFINER, class type: CheckpointLoaderSimple model_type EPS Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE Executing node 15, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Requested to load SDXLRefinerClipModel Loading 1 new model Executing node 16, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Executing node 4, title: Load Checkpoint - BASE, class type: CheckpointLoaderSimple model_type EPS Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE clip missing: ['clip_l.logit_scale', 'clip_l.transformer.text_projection.weight'] Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Requested to load SDXLClipModel Loading 1 new model Executing node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Executing node 5, title: Empty Latent Image, class type: EmptyLatentImage Executing node 10, title: KSampler (Advanced) - BASE, class type: KSamplerAdvanced Requested to load SDXL Loading 1 new model 0%| | 0/20 [00:00

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