Starting... No seed - create brand new 4214526 File image /tmp/tmpwinz7blvComfyUI_temp_lobef_00001_.png Prompting {'1': {'inputs': {'seed': 4214526, 'steps': 25, 'cfg': 7, 'sampler_name': 'euler', 'scheduler': 'sgm_uniform', 'denoise': 1, 'model': ['28', 0], 'positive': ['507', 0], 'negative': ['506', 0], 'latent_image': ['11', 0]}, 'class_type': 'KSampler', '_meta': {'title': 'KSampler'}}, '3': {'inputs': {'text': 'person(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, mutated hands and fingers:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, disconnected limbs, mutation, mutated, ugly, disgusting, amputation, text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, closed-eyes, ugly-eyes, lazy eyes, JuggernautNegative, JuggernautNegative-neg, nude, nsfw, naked, epiCNegative, realisticvision-negative-embedding\n', 'clip': ['17', 1]}, 'class_type': 'CLIPTextEncode', '_meta': {'title': 'CLIP Text Encode (Prompt)'}}, '4': {'inputs': {'samples': ['1', 0], 'vae': ['17', 2]}, 'class_type': 'VAEDecode', '_meta': {'title': 'VAE Decode'}}, '5': {'inputs': {'image': 'tmp_image.png', 'upload': 'image'}, 'class_type': 'LoadImage', '_meta': {'title': 'Load Image'}}, '11': {'inputs': {'samples': ['488', 0], 'mask': ['117', 0]}, 'class_type': 'SetLatentNoiseMask', '_meta': {'title': 'Set Latent Noise Mask'}}, '15': {'inputs': {'strength': 1, 'start_percent': 0.031, 'end_percent': 1, 'positive': ['493', 0], 'negative': ['3', 0], 'control_net': ['18', 0], 'image': ['46', 0], 'timestep_kf': ['22', 1], 'weights_override': ['22', 0]}, 'class_type': 'ACN_AdvancedControlNetApply', '_meta': {'title': 'Apply Advanced ControlNet 🛂🅐🅒🅝'}}, '17': {'inputs': {'ckpt_name': 'Realistic_Vision_V6.0_NV_B1_inpainting.safetensors'}, 'class_type': 'CheckpointLoaderSimple', '_meta': {'title': 'Load Checkpoint'}}, '18': {'inputs': {'control_net_name': 'control_v11p_sd15_inpaint_fp16.safetensors'}, 'class_type': 'ControlNetLoader', '_meta': {'title': 'Load ControlNet Model'}}, '22': {'inputs': {'base_multiplier': 0.825, 'flip_weights': False}, 'class_type': 'ScaledSoftControlNetWeights', '_meta': {'title': 'Scaled Soft Weights 🛂🅐🅒🅝'}}, '28': {'inputs': {'weight': 1, 'noise': 0.6, 'weight_type': 'linear', 'start_at': 0, 'end_at': 1, 'unfold_batch': False, 'ipadapter': ['29', 0], 'clip_vision': ['30', 0], 'image': ['73', 0], 'model': ['17', 0]}, 'class_type': 'IPAdapterApply', '_meta': {'title': 'Apply IPAdapter'}}, '29': {'inputs': {'ipadapter_file': 'ip-adapter_sd15.safetensors'}, 'class_type': 'IPAdapterModelLoader', '_meta': {'title': 'Load IPAdapter Model'}}, '30': {'inputs': {'clip_name': 'CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors'}, 'class_type': 'CLIPVisionLoader', '_meta': {'title': 'Load CLIP Vision'}}, '31': {'inputs': {'clip_vision': ['34', 0], 'image': ['73', 0]}, 'class_type': 'CLIPVisionEncode', '_meta': {'title': 'CLIP Vision Encode'}}, '32': {'inputs': {'conditioning': ['15', 0], 'style_model': ['33', 0], 'clip_vision_output': ['31', 0]}, 'class_type': 'StyleModelApply', '_meta': {'title': 'Apply Style Model'}}, '33': {'inputs': {'style_model_name': 'coadapter-style-sd15v1.pth'}, 'class_type': 'StyleModelLoader', '_meta': {'title': 'Load Style Model'}}, '34': {'inputs': {'clip_name': 'pytorch_model.bin'}, 'class_type': 'CLIPVisionLoader', '_meta': {'title': 'Load CLIP Vision'}}, '46': {'inputs': {'image': ['462', 0], 'mask': ['117', 0]}, 'class_type': 'InpaintPreprocessor', '_meta': {'title': 'Inpaint Preprocessor'}}, '73': {'inputs': {'side_length': 512, 'side': 'Longest', 'upscale_method': 'nearest-exact', 'crop': 'disabled', 'image': ['5', 0]}, 'class_type': 'Image scale to side', '_meta': {'title': 'Image scale to side'}}, '76': {'inputs': {'mask': ['462', 1]}, 'class_type': 'MaskToImage', '_meta': {'title': 'Convert Mask to Image'}}, '80': {'inputs': {'channel': 'red', 'image': ['76', 0]}, 'class_type': 'ImageToMask', '_meta': {'title': 'Convert Image to Mask'}}, '117': {'inputs': {'expand': 0, 'tapered_corners': True, 'mask': ['80', 0]}, 'class_type': 'GrowMask', '_meta': {'title': 'GrowMask'}}, '401': {'inputs': {'mask': ['462', 1]}, 'class_type': 'InvertMask', '_meta': {'title': 'InvertMask'}}, '405': {'inputs': {'mask': ['401', 0]}, 'class_type': 'MaskToImage', '_meta': {'title': 'Convert Mask to Image'}}, '462': {'inputs': {'left': ['475', 0], 'top': ['474', 0], 'right': ['475', 0], 'bottom': ['474', 0], 'feathering': ['486', 0], 'image': ['73', 0]}, 'class_type': 'ImagePadForOutpaint', '_meta': {'title': 'Pad Image for Outpainting'}}, '465': {'inputs': {'image': ['73', 0]}, 'class_type': 'Get image size', '_meta': {'title': 'Get image size'}}, '466': {'inputs': {'ANY': ['467', 0], 'IF_TRUE': ['468', 0], 'IF_FALSE': ['465', 0]}, 'class_type': 'If ANY execute A else B', '_meta': {'title': 'NEW WIDTH'}}, '467': {'inputs': {'comparison': 'a > b', 'a': ['468', 0], 'b': ['465', 0]}, 'class_type': 'Compare', '_meta': {'title': 'Compare'}}, '468': {'inputs': {'expression': 'a*(b/c)', 'a': ['465', 1], 'b': ['483', 0], 'c': ['483', 1]}, 'class_type': 'MathExpression|pysssss', '_meta': {'title': 'Increasing WIDTH'}}, '469': {'inputs': {'ANY': ['470', 0], 'IF_TRUE': ['472', 0], 'IF_FALSE': ['465', 1]}, 'class_type': 'If ANY execute A else B', '_meta': {'title': 'NEW HEIGHT'}}, '470': {'inputs': {'comparison': 'a > b', 'a': ['472', 0], 'b': ['465', 1]}, 'class_type': 'Compare', '_meta': {'title': 'Compare'}}, '471': {'inputs': {'output': '', 'source': ['466', 0]}, 'class_type': 'Display Any (rgthree)', '_meta': {'title': 'PRINT'}}, '472': {'inputs': {'expression': 'a/(b/c)', 'a': ['465', 0], 'b': ['483', 0], 'c': ['483', 1]}, 'class_type': 'MathExpression|pysssss', '_meta': {'title': 'Increasing HEIGHT'}}, '473': {'inputs': {'output': '', 'source': ['469', 0]}, 'class_type': 'Display Any (rgthree)', '_meta': {'title': 'Display Any (rgthree)'}}, '474': {'inputs': {'expression': '(b-a)/1.5', 'a': ['465', 1], 'b': ['469', 0]}, 'class_type': 'MathExpression|pysssss', '_meta': {'title': 'HEIGHT Padding'}}, '475': {'inputs': {'expression': '(b-a)/1.5', 'a': ['465', 0], 'b': ['466', 0]}, 'class_type': 'MathExpression|pysssss', '_meta': {'title': 'WIDTH Padding'}}, '483': {'inputs': {'width': 1024, 'height': 1024, 'aspect_ratio': 'Instagram Portrait - 1080x1350', 'swap_dimensions': 'Off', 'upscale_factor': 1, 'prescale_factor': 1, 'batch_size': 1}, 'class_type': 'CR Aspect Ratio Social Media', '_meta': {'title': '🔳 CR Aspect Ratio Social Media'}}, '486': {'inputs': {'value': 20}, 'class_type': 'JWInteger', '_meta': {'title': 'Integer'}}, '488': {'inputs': {'pixels': ['462', 0], 'vae': ['17', 2]}, 'class_type': 'VAEEncode', '_meta': {'title': 'VAE Encode'}}, '491': {'inputs': {'blip_model': 'caption'}, 'class_type': 'BLIP Model Loader', '_meta': {'title': 'BLIP Model Loader'}}, '492': {'inputs': {'mode': 'caption', 'question': 'What does the background consist of?', 'image': ['5', 0], 'blip_model': ['491', 0]}, 'class_type': 'BLIP Analyze Image', '_meta': {'title': 'BLIP Analyze Image'}}, '493': {'inputs': {'text': ['492', 0], 'clip': ['17', 1]}, 'class_type': 'CLIPTextEncode', '_meta': {'title': 'CLIP Text Encode (Prompt)'}}, '496': {'inputs': {'control_net_name': 'control_v11p_sd15_canny.pth'}, 'class_type': 'ControlNetLoaderAdvanced', '_meta': {'title': 'Load Advanced ControlNet Model 🛂🅐🅒🅝'}}, '497': {'inputs': {'strength': 1, 'start_percent': 0, 'end_percent': 1, 'positive': ['15', 0], 'negative': ['15', 1], 'control_net': ['496', 0], 'image': ['508', 0]}, 'class_type': 'ControlNetApplyAdvanced', '_meta': {'title': 'Apply ControlNet (Advanced)'}}, '503': {'inputs': {'control_net_name': 'control_v11f1e_sd15_tile.pth'}, 'class_type': 'ControlNetLoaderAdvanced', '_meta': {'title': 'Load Advanced ControlNet Model 🛂🅐🅒🅝'}}, '504': {'inputs': {'strength': 1, 'start_percent': 0, 'end_percent': 1, 'positive': ['497', 0], 'negative': ['497', 1], 'control_net': ['503', 0], 'image': ['527', 0]}, 'class_type': 'ControlNetApplyAdvanced', '_meta': {'title': 'Apply ControlNet (Advanced)'}}, '506': {'inputs': {'conditioning_1': ['504', 1], 'conditioning_2': ['15', 1]}, 'class_type': 'ConditioningCombine', '_meta': {'title': 'Merge Negative Prompts'}}, '507': {'inputs': {'conditioning_1': ['32', 0], 'conditioning_2': ['504', 0]}, 'class_type': 'ConditioningCombine', '_meta': {'title': 'Merge Positive Prompts'}}, '508': {'inputs': {'enable_threshold': 'true', 'threshold_low': 0.1, 'threshold_high': 0.5, 'images': ['73', 0]}, 'class_type': 'Image Canny Filter', '_meta': {'title': 'Image Canny Filter'}}, '527': {'inputs': {'pyrUp_iters': 3, 'resolution': 1024, 'image': ['73', 0]}, 'class_type': 'TilePreprocessor', '_meta': {'title': 'Tile'}}, '530': {'inputs': {'resize_behavior': 'resize', 'image_base': ['4', 0], 'image_to_paste': ['5', 0], 'mask': ['405', 0]}, 'class_type': 'Paste By Mask', '_meta': {'title': 'Paste By Mask'}}, '533': {'inputs': {'width': ['483', 0], 'height': ['483', 1], 'position': 'top-left', 'x_offset': 0, 'y_offset': 0, 'image': ['530', 0]}, 'class_type': 'ImageCrop+', '_meta': {'title': '🔧 Image Crop'}}, '534': {'inputs': {'images': ['533', 0]}, 'class_type': 'PreviewImage', '_meta': {'title': 'Preview Image'}}} got prompt [32m[rgthree] Using rgthree's optimized recursive execution.[0m [32m[rgthree][0m First run patching recursive_output_delete_if_changed and recursive_will_execute.[0m [33m[rgthree] Note: [0mIf execution seems broken due to forward ComfyUI changes, you can disable the optimization from rgthree settings in ComfyUI.[0m model_type EPS adm 0 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.text_projection', 'clip_l.logit_scale'] clip unexpected: ['clip_l.transformer.text_model.embeddings.position_ids'] left over keys: dict_keys(['alphas_cumprod', 'alphas_cumprod_prev', 'betas', 'log_one_minus_alphas_cumprod', 'model_ema.decay', 'model_ema.num_updates', 'posterior_log_variance_clipped', 'posterior_mean_coef1', 'posterior_mean_coef2', 'posterior_variance', 'sqrt_alphas_cumprod', 'sqrt_one_minus_alphas_cumprod', 'sqrt_recip_alphas_cumprod', 'sqrt_recipm1_alphas_cumprod']) Requested to load CLIPVisionModelProjection Loading 1 new model vocab.txt: 0%| | 0.00/232k [00:00