{ "Platform": "Windows-10-10.0.22631-SP0", "Python": "3.10.6", "Version": "1.6.0", "Commit": "44006297e03a07f28505d54d6ba5fd55e0c1292d", "Script path": "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui", "Data path": "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui", "Extensions dir": "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\extensions", "Checksum": "6c8c6a5f8928f4952a67f4a81bd6eb2da433f80a7393050684f877f04555a160", "Commandline": [ "launch.py", "--skip-torch-cuda-test", "--precision", "full", "--no-half" ], "Torch env info": { "torch_version": "2.1.0+cpu", "is_debug_build": "False", "cuda_compiled_version": null, "gcc_version": null, "clang_version": null, "cmake_version": null, "os": "Microsoft Windows 11 Professionnel", "libc_version": "N/A", "python_version": "3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] (64-bit runtime)", "python_platform": "Windows-10-10.0.22631-SP0", "is_cuda_available": "False", 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Diffusion\\stable-diffusion-webui\\modules\\call_queue.py, line 57, f", "res = list(func(*args, **kwargs))" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\modules\\call_queue.py, line 36, f", "res = func(*args, **kwargs)" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\modules\\txt2img.py, line 52, txt2img", "processed = modules.scripts.scripts_txt2img.run(p, *args)" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\modules\\scripts.py, line 601, run", "processed = script.run(p, *script_args)" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\scripts\\openvino_accelerate.py, line 1228, run", "processed = process_images_openvino(p, model_config, vae_ckpt, p.sampler_name, enable_caching, openvino_device, mode, is_xl_ckpt, refiner_ckpt, refiner_frac)" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\scripts\\openvino_accelerate.py, line 895, process_images_openvino", "shared.sd_diffusers_model = get_diffusers_sd_model(model_config, vae_ckpt, sampler_name, enable_caching, openvino_device, mode, is_xl_ckpt, refiner_ckpt, refiner_frac)" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\scripts\\openvino_accelerate.py, line 591, get_diffusers_sd_model", "sd_model = StableDiffusionPipeline.from_single_file(checkpoint_path, original_config_file=checkpoint_config, use_safetensors=True, variant=\"fp32\", dtype=torch.float32)" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\venv\\lib\\site-packages\\diffusers\\loaders.py, line 2822, from_single_file", "pipe = download_from_original_stable_diffusion_ckpt(" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\venv\\lib\\site-packages\\diffusers\\pipelines\\stable_diffusion\\convert_from_ckpt.py, line 1740, download_from_original_stable_diffusion_ckpt", "pipe = pipeline_class(" ] ] }, { "exception": "StableDiffusionPipeline.__init__() got an unexpected keyword argument 'text_encoder_2'", "traceback": [ [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\modules\\call_queue.py, line 57, f", "res = list(func(*args, **kwargs))" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\modules\\call_queue.py, line 36, f", "res = func(*args, **kwargs)" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\modules\\txt2img.py, line 52, txt2img", "processed = modules.scripts.scripts_txt2img.run(p, *args)" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\modules\\scripts.py, line 601, run", "processed = script.run(p, *script_args)" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\scripts\\openvino_accelerate.py, line 1228, run", "processed = process_images_openvino(p, model_config, vae_ckpt, p.sampler_name, enable_caching, openvino_device, mode, is_xl_ckpt, refiner_ckpt, refiner_frac)" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\scripts\\openvino_accelerate.py, line 895, process_images_openvino", "shared.sd_diffusers_model = get_diffusers_sd_model(model_config, vae_ckpt, sampler_name, enable_caching, openvino_device, mode, is_xl_ckpt, refiner_ckpt, refiner_frac)" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\scripts\\openvino_accelerate.py, line 591, get_diffusers_sd_model", "sd_model = StableDiffusionPipeline.from_single_file(checkpoint_path, original_config_file=checkpoint_config, use_safetensors=True, variant=\"fp32\", dtype=torch.float32)" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\venv\\lib\\site-packages\\diffusers\\loaders.py, line 2822, from_single_file", "pipe = download_from_original_stable_diffusion_ckpt(" ], [ "E:\\AI\\Image\\Stable Diffusion\\stable-diffusion-webui\\venv\\lib\\site-packages\\diffusers\\pipelines\\stable_diffusion\\convert_from_ckpt.py, line 1740, download_from_original_stable_diffusion_ckpt", "pipe = pipeline_class(" ] ] } ], "CPU": { "model": "Intel64 Family 6 Model 183 Stepping 1, GenuineIntel", "count 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