[Predictor Predict] Params: {'prompt': 'A photo of a girl sitting in a private jet', 'negative_prompt': '', 'style_selections': ['Fooocus V2', 'Fooocus Enhance', 'Fooocus Sharp'], 'performance_selection': 'Quality', 'aspect_ratios_selection': '1152*896', 'image_number': 1, 'image_seed': -1, 'sharpness': 3.0, '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': 'Upscale (2x)', '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=0.5, inpaint_respective_field=1.0, inpaint_mask_upload_checkbox=False, invert_mask_checkbox=False, inpaint_erode_or_dilate=0)} [32m[2024-06-30 19:55:25] INFO [0m [34m[Task Queue] Waiting for task finished, job_id=7480956d-f903-447e-a90c-99a4c587aabd[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.logit_scale', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.text_projection'} 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 0.30 seconds [32m[2024-06-30 19:55:32] INFO [0m [34m[Task Queue] Task queue start task, job_id=7480956d-f903-447e-a90c-99a4c587aabd[0m [32m[2024-06-30 19:55:32] INFO [0m [34m[Parameters] Adaptive CFG = 7.0[0m [32m[2024-06-30 19:55:32] INFO [0m [34m[Parameters] Sharpness = 3.0[0m [32m[2024-06-30 19:55:32] INFO [0m [34m[Parameters] ControlNet Softness = 0.25[0m [32m[2024-06-30 19:55:32] INFO [0m [34m[Parameters] ADM Scale = 1.5 : 0.8 : 0.3[0m [32m[2024-06-30 19:55:32] INFO [0m [34m[Parameters] CFG = 7.0[0m [32m[2024-06-30 19:55:32] INFO [0m [34m[Parameters] Seed = 4633194370594277476[0m [32m[2024-06-30 19:55:32] INFO [0m [34m[Parameters] Sampler = dpmpp_2m_sde_gpu - karras[0m [32m[2024-06-30 19:55:32] INFO [0m [34m[Parameters] Steps = 60 - 30[0m [32m[2024-06-30 19:55:32] INFO [0m [34m[Fooocus] Initializing ...[0m [32m[2024-06-30 19:55:32] 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 0.53 seconds [32m[2024-06-30 19:55:33] INFO [0m [34m[Fooocus] Processing prompts ...[0m [32m[2024-06-30 19:55:33] INFO [0m [34m[Fooocus] Preparing Fooocus text #1 ...[0m [32m[2024-06-30 19:55:34] INFO [0m [34m[Prompt Expansion] A photo of a girl sitting in a private jet, complex artistic color composition, proportional beautiful, gentle, detailed, focus, innocent, pretty, attractive, dramatic cinematic, intricate, elegant, sharp, rich deep light, amazing, highly detail, fancy, clear professional, extremely cute, great, symmetry, sincere, best, creative, positive, cheerful, unique, vibrant colors[0m [32m[2024-06-30 19:55:34] INFO [0m [34m[Fooocus] Encoding positive #1 ...[0m [32m[2024-06-30 19:55:34] INFO [0m [34m[Fooocus] Encoding negative #1 ...[0m [32m[2024-06-30 19:55:34] INFO [0m [34m[Parameters] Denoising Strength = 1.0[0m [32m[2024-06-30 19:55:34] INFO [0m [34m[Parameters] Initial Latent shape: Image Space (896, 1152)[0m [32m[2024-06-30 19:55:34] INFO [0m [34m[Fooocus] Preparation time: 2.76 seconds[0m [Sampler] refiner_swap_method = joint [Sampler] sigma_min = 0.0291671771556139, sigma_max = 14.614643096923828 Requested to load SDXL Loading 1 new model [Fooocus Model Management] Moving model(s) has taken 0.80 seconds [32m[2024-06-30 19:55:35] INFO [0m [34m[Task Queue] Already waiting for 10.6 seconds, job_id=7480956d-f903-447e-a90c-99a4c587aabd[0m 0%| | 0/60 [00:00

Input

Output

Examples

Run time and cost

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