[Predictor Predict] Params: {'prompt': '', 'negative_prompt': '', 'style_selections': ['Fooocus V2', 'Fooocus Enhance', 'Fooocus Sharp'], 'performance_selection': 'Speed', 'aspect_ratios_selection': '1152*896', 'image_number': 1, 'image_seed': -1, 'sharpness': 2.0, 'guidance_scale': 7.0, 'base_model_name': 'juggernautXL_v8Rundiffusion.safetensors', 'refiner_model_name': 'None', 'refiner_switch': 0.5, 'loras': [['sd_xl_offset_example-lora_1.0.safetensors', 0.1]], 'uov_input_image': None, 'uov_method': 'Disabled', 'upscale_value': 0.0, 'outpaint_selections': [], 'outpaint_distance_left': 0, 'outpaint_distance_right': 0, 'outpaint_distance_top': 0, 'outpaint_distance_bottom': 0, 'inpaint_input_image': None, 'inpaint_additional_prompt': '', 'image_prompts': [], 'save_extension': 'png', 'require_base64': False, 'advanced_params': AdvancedParams(disable_preview=False, disable_intermediate_results=False, disable_seed_increment=False, adm_scaler_positive=1.5, adm_scaler_negative=0.8, adm_scaler_end=0.3, adaptive_cfg=7.0, sampler_name='dpmpp_2m_sde_gpu', scheduler_name='karras', overwrite_step=-1, overwrite_switch=-1, overwrite_width=-1, overwrite_height=-1, overwrite_vary_strength=-1, overwrite_upscale_strength=-1, mixing_image_prompt_and_vary_upscale=False, mixing_image_prompt_and_inpaint=False, debugging_cn_preprocessor=False, skipping_cn_preprocessor=False, canny_low_threshold=64, canny_high_threshold=128, refiner_swap_method='joint', controlnet_softness=0.25, freeu_enabled=False, freeu_b1=1.01, freeu_b2=1.02, freeu_s1=0.99, freeu_s2=0.95, debugging_inpaint_preprocessor=False, inpaint_disable_initial_latent=False, inpaint_engine='v2.6', inpaint_strength=1.0, inpaint_respective_field=1.0, inpaint_mask_upload_checkbox=False, invert_mask_checkbox=False, inpaint_erode_or_dilate=0)} [32m[2024-04-08 07:46:48] INFO [0m [34m[Task Queue] Waiting for task finished, job_id=d527d7d3-afb3-41a0-b25e-bf481833b707[0m Refiner unloaded. model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.logit_scale'} Base model loaded: /src/repositories/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors Request to load LoRAs [['sd_xl_offset_example-lora_1.0.safetensors', 0.1], ['None', 1.0], ['None', 1.0], ['None', 1.0], ['None', 1.0]] for model [/src/repositories/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors]. Loaded LoRA [/src/repositories/Fooocus/models/loras/sd_xl_offset_example-lora_1.0.safetensors] for UNet [/src/repositories/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors] with 788 keys at weight 0.1. Fooocus V2 Expansion: Vocab with 642 words. Fooocus Expansion engine loaded for cuda:0, use_fp16 = True. Requested to load SDXLClipModel Requested to load GPT2LMHeadModel Loading 2 new models [Fooocus Model Management] Moving model(s) has taken 0.32 seconds [32m[2024-04-08 07:46:56] INFO [0m [34m[Task Queue] Task queue start task, job_id=d527d7d3-afb3-41a0-b25e-bf481833b707[0m [32m[2024-04-08 07:46:56] INFO [0m [34m[Parameters] Adaptive CFG = 7.0[0m [32m[2024-04-08 07:46:56] INFO [0m [34m[Parameters] Sharpness = 2.0[0m [32m[2024-04-08 07:46:56] INFO [0m [34m[Parameters] ControlNet Softness = 0.25[0m [32m[2024-04-08 07:46:56] INFO [0m [34m[Parameters] ADM Scale = 1.5 : 0.8 : 0.3[0m [32m[2024-04-08 07:46:56] INFO [0m [34m[Parameters] CFG = 7.0[0m [32m[2024-04-08 07:46:56] INFO [0m [34m[Parameters] Seed = 7287935539341182038[0m [32m[2024-04-08 07:46:56] INFO [0m [34m[Parameters] Sampler = dpmpp_2m_sde_gpu - karras[0m [32m[2024-04-08 07:46:56] INFO [0m [34m[Parameters] Steps = 30 - 15[0m [32m[2024-04-08 07:46:56] INFO [0m [34m[Fooocus] Initializing ...[0m [32m[2024-04-08 07:46:56] INFO [0m [34m[Fooocus] Loading models ...[0m Refiner unloaded. Request to load LoRAs [['sd_xl_offset_example-lora_1.0.safetensors', 0.1]] for model [/src/repositories/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors]. Loaded LoRA [/src/repositories/Fooocus/models/loras/sd_xl_offset_example-lora_1.0.safetensors] for UNet [/src/repositories/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors] with 788 keys at weight 0.1. Requested to load SDXLClipModel Loading 1 new model unload clone 1 [Fooocus Model Management] Moving model(s) has taken 0.52 seconds [32m[2024-04-08 07:46:57] INFO [0m [34m[Fooocus] Processing prompts ...[0m [32m[2024-04-08 07:46:57] INFO [0m [34m[Fooocus] Encoding positive #1 ...[0m [32m[2024-04-08 07:46:57] INFO [0m [34m[Fooocus] Encoding negative #1 ...[0m [32m[2024-04-08 07:46:57] INFO [0m [34m[Parameters] Denoising Strength = 1.0[0m [32m[2024-04-08 07:46:57] INFO [0m [34m[Parameters] Initial Latent shape: Image Space (896, 1152)[0m [32m[2024-04-08 07:46:57] INFO [0m [34m[Fooocus] Preparation time: 1.80 seconds[0m [Sampler] refiner_swap_method = joint [Sampler] sigma_min = 0.0291671771556139, sigma_max = 14.614643096923828 Requested to load SDXL Loading 1 new model [32m[2024-04-08 07:46:58] INFO [0m [34m[Task Queue] Already waiting for 10.4 seconds, job_id=d527d7d3-afb3-41a0-b25e-bf481833b707[0m [Fooocus Model Management] Moving model(s) has taken 0.75 seconds 0%| | 0/30 [00:00