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April 14, 2023 20:54
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| 13:53:39.981 INFO cuda:0 Session 1681477031942 starting task 139704256319984 on NVIDIA GeForce RTX 4090 task_manager.py:312 | |
| 13:53:39.984 INFO cuda:0 request: {'guidance_scale': 7.5, renderer.py:64 | |
| 'height': 768, | |
| 'hypernetwork_strength': 0, | |
| 'lora_alpha': 0, | |
| 'negative_prompt': '', | |
| 'num_inference_steps': 90, | |
| 'num_outputs': 1, | |
| 'preserve_init_image_color_profile': False, | |
| 'prompt': 'A cat', | |
| 'sampler_name': 'euler_a', | |
| 'seed': 3300925036, | |
| 'width': 768} | |
| 13:53:39.987 INFO cuda:0 task data: {'block_nsfw': False, renderer.py:65 | |
| 'metadata_output_format': 'none', | |
| 'output_format': 'jpeg', | |
| 'output_lossless': False, | |
| 'output_quality': 90, | |
| 'request_id': 139704256319984, | |
| 'save_to_disk_path': None, | |
| 'session_id': '1681477031942', | |
| 'show_only_filtered_image': True, | |
| 'stream_image_progress': False, | |
| 'stream_image_progress_interval': 5, | |
| 'upscale_amount': 4, | |
| 'use_face_correction': None, | |
| 'use_hypernetwork_model': None, | |
| 'use_lora_model': None, | |
| 'use_stable_diffusion_model': '/home/rasmus/easy-diffusion/models/stable-diffusion/v2-1_768-ema-pruned.ckpt', | |
| 'use_upscale': None, | |
| 'use_vae_model': '/home/rasmus/easy-diffusion/models/vae/vae-ft-mse-840000-ema-pruned.ckpt', | |
| 'vram_usage_level': 'balanced'} | |
| 13:53:39.989 INFO cuda:0 Global seed set to 3300925036 seed.py:65 | |
| 13:53:39.991 INFO cuda:0 Using sampler: EulerAncestralDiscreteScheduler { image_generator.py:234 | |
| "_class_name": "EulerAncestralDiscreteScheduler", | |
| "_diffusers_version": "0.14.0", | |
| "beta_end": 0.012, | |
| "beta_schedule": "scaled_linear", | |
| "beta_start": 0.00085, | |
| "clip_sample": false, | |
| "num_train_timesteps": 1000, | |
| "prediction_type": "v_prediction", | |
| "set_alpha_to_one": false, | |
| "steps_offset": 1, | |
| "trained_betas": null | |
| } | |
| because of euler_a | |
| 13:53:39.993 INFO cuda:0 Parsing the prompt.. image_generator.py:261 | |
| 13:53:39.994 INFO cuda:0 compel is ready image_generator.py:269 | |
| 13:53:40.055 INFO cuda:0 Made prompt embeds image_generator.py:271 | |
| 13:53:40.078 INFO cuda:0 Made negative prompt embeds image_generator.py:273 | |
| 13:53:40.113 INFO cuda:0 Done parsing the prompt image_generator.py:278 | |
| 13:53:40.113 INFO cuda:0 applying: StableDiffusionPipeline { image_generator.py:281 | |
| "_class_name": "StableDiffusionPipeline", | |
| "_diffusers_version": "0.14.0", | |
| "feature_extractor": [ | |
| null, | |
| null | |
| ], | |
| "requires_safety_checker": false, | |
| "safety_checker": [ | |
| null, | |
| null | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "DDIMScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "CLIPTextModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "unet": [ | |
| "diffusers", | |
| "UNet2DConditionModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ] | |
| } | |
| 13:53:40.118 INFO cuda:0 Running on diffusers: {'guidance_scale': 7.5, 'generator': <torch._C.Generator object at 0x7f0f18148d50>, 'width': 768, 'height': 768, 'num_inference_steps': 90, image_generator.py:282 | |
| 'num_images_per_prompt': 1, 'callback': <function make_with_diffusers.<locals>.<lambda> at 0x7f0f67e1e040>, 'prompt_embeds': tensor([[[-0.3135, -0.4475, -0.0083, ..., 0.2544, -0.0327, | |
| -0.2959], | |
| [ 0.2002, -1.6914, -0.8955, ..., 0.4653, -0.0972, -2.1484], | |
| [ 1.1514, -0.3438, 0.5889, ..., 0.1758, 0.2871, -0.8628], | |
| ..., | |
| [ 0.3064, -1.3467, -0.2349, ..., -0.0552, -0.1871, 0.5068], | |
| [ 0.3276, -1.3740, -0.2068, ..., -0.3789, -0.2119, 0.6416], | |
| [ 0.3452, -2.2246, -0.7661, ..., 0.0298, -0.6050, 0.9458]]], | |
| device='cuda:0', dtype=torch.float16), 'negative_prompt_embeds': tensor([[[-0.3135, -0.4475, -0.0083, ..., 0.2544, -0.0327, -0.2959], | |
| [ 1.4082, 0.0072, -0.4297, ..., 1.0371, -0.6753, 1.5020], | |
| [ 1.8613, -1.0859, -1.0635, ..., 2.0293, -1.1387, -0.1884], | |
| ..., | |
| [ 0.0033, -1.5000, -0.3901, ..., -0.1841, -0.3230, -0.0181], | |
| [ 0.0262, -1.5527, -0.4165, ..., -0.4441, -0.3992, 0.1919], | |
| [-0.0708, -2.6152, -1.0488, ..., -0.0028, -0.5015, 0.4028]]], | |
| device='cuda:0', dtype=torch.float16)} | |
| 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 90/90 [00:20<00:00, 4.30it/s] | |
| 13:54:01.694 INFO cuda:0 Task completed renderer.py:56 | |
| 13:54:01.768 INFO cuda:0 Session 1681477031942 task 139704256319984 completed by NVIDIA GeForce RTX 4090. |
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