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Original file line number Diff line number Diff line change
Expand Up @@ -72,7 +72,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2025-10-31 23:04:12 - INFO - Notebook execution started.\n"
"2025-11-13 15:43:02 - INFO - Notebook execution started.\n"
]
}
],
Expand Down Expand Up @@ -101,8 +101,8 @@
"output_type": "stream",
"text": [
"Note: you may need to restart the kernel to use updated packages.\n",
"CPU times: user 24.7 ms, sys: 3.97 ms, total: 28.7 ms\n",
"Wall time: 1.48 s\n"
"CPU times: user 145 ms, sys: 33.7 ms, total: 179 ms\n",
"Wall time: 5.46 s\n"
]
}
],
Expand All @@ -122,17 +122,19 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2025-10-31 23:04:18.497995: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
"2025-10-31 23:04:18.520479: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"2025-11-13 15:43:15.497639: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
"2025-11-13 15:43:15.545453: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
"E0000 00:00:1761951858.534689 1800 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"E0000 00:00:1761951858.539003 1800 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
"W0000 00:00:1761951858.550844 1800 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"W0000 00:00:1761951858.550881 1800 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"W0000 00:00:1761951858.550883 1800 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"W0000 00:00:1761951858.550883 1800 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"2025-10-31 23:04:18.555210: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
"To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
"E0000 00:00:1763048595.569621 1489 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"E0000 00:00:1763048595.576553 1489 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
"W0000 00:00:1763048595.604025 1489 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"W0000 00:00:1763048595.604060 1489 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"W0000 00:00:1763048595.604062 1489 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"W0000 00:00:1763048595.604063 1489 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
"2025-11-13 15:43:15.611536: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
"To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
"W0000 00:00:1763048602.479530 1489 gpu_device.cc:2341] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.\n",
"Skipping registering GPU devices...\n",
"/opt/conda/lib/python3.12/site-packages/mlflow/pyfunc/utils/data_validation.py:137: FutureWarning: Model's `predict` method contains invalid parameters: {'X'}. Only the following parameter names are allowed: context, model_input, and params. Note that invalid parameters will no longer be permitted in future versions.\n",
" param_names = _check_func_signature(func, \"predict\")\n",
"/opt/conda/lib/python3.12/site-packages/mlflow/pyfunc/model.py:172: UserWarning: \u001b[31mType hint used in the model's predict function is not supported for MLflow's schema validation. Type hints must be wrapped in list[...] because MLflow assumes the predict method to take multiple input instances. Specify your type hint as `list[typing.Union[pandas.core.frame.DataFrame, dict]]` for a valid signature. Remove the type hint to disable this warning. To enable validation for the input data, specify input example or model signature when logging the model. \u001b[0m\n",
Expand Down Expand Up @@ -257,27 +259,27 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2025-10-31 23:04:26,613 — INFO — Using accelerate cfg: /home/jovyan/AI-Blueprints/generative-ai/image-generation-with-stablediffusion/configs/default_config_one-gpu.yaml\n",
"2025-10-31 23:04:26,932 — INFO — Starting model deployment...\n",
"2025/10/31 23:04:27 INFO mlflow.tracking.fluent: Experiment with name 'ImageGeneration' does not exist. Creating a new experiment.\n",
"2025-10-31 23:04:27,368 — INFO — Using local base model: /home/jovyan/AI-Blueprints/generative-ai/image-generation-with-stablediffusion/models/stable-diffusion-2-1\n",
"2025-10-31 23:04:27,371 — INFO — Using finetuned model: /home/jovyan/AI-Blueprints/generative-ai/image-generation-with-stablediffusion/output/dreambooth\n",
"2025-10-31 23:04:27,371 — INFO — Using base model: /home/jovyan/AI-Blueprints/generative-ai/image-generation-with-stablediffusion/models/stable-diffusion-2-1\n",
"2025-10-31 23:04:28,103 — INFO — 📦 Logging artifacts and model...\n",
"2025/10/31 23:04:28 INFO mlflow.models.signature: Inferring model signature from type hints\n",
"2025-11-13 15:43:29,426 — INFO — Using accelerate cfg: /home/jovyan/AI-Blueprints/generative-ai/image-generation-with-stablediffusion/configs/default_config_one-gpu.yaml\n",
"2025-11-13 15:43:29,730 — INFO — Starting model deployment...\n",
"2025/11/13 15:43:29 INFO mlflow.tracking.fluent: Experiment with name 'ImageGeneration' does not exist. Creating a new experiment.\n",
"2025-11-13 15:43:29,876 — INFO — Using local base model: /home/jovyan/AI-Blueprints/generative-ai/image-generation-with-stablediffusion/models/stable-diffusion-2-1\n",
"2025-11-13 15:43:29,881 — INFO — Using finetuned model: /home/jovyan/AI-Blueprints/generative-ai/image-generation-with-stablediffusion/output/dreambooth\n",
"2025-11-13 15:43:29,883 — INFO — Using base model: /home/jovyan/AI-Blueprints/generative-ai/image-generation-with-stablediffusion/models/stable-diffusion-2-1\n",
"2025-11-13 15:43:30,426 — INFO — 📦 Logging artifacts and model...\n",
"2025/11/13 15:43:30 INFO mlflow.models.signature: Inferring model signature from type hints\n",
"/opt/conda/lib/python3.12/site-packages/mlflow/pyfunc/__init__.py:3139: UserWarning: Failed to infer signature from type hint: Type hints must be wrapped in list[...] because MLflow assumes the predict method to take multiple input instances. Specify your type hint as `list[typing.Union[pandas.core.frame.DataFrame, dict]]` for a valid signature.\n",
" signature_from_type_hints = _infer_signature_from_type_hints(\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "6b8ddc9bf7e6468492b5ec162d3c1261",
"model_id": "d3ac1d11139c4f17beff715473a6ee96",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading artifacts: 0%| | 0/16 [00:00<?, ?it/s]"
"Downloading artifacts: 0%| | 0/22 [00:00<?, ?it/s]"
]
},
"metadata": {},
Expand All @@ -286,7 +288,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "e2abb95524c54435ada68df22671b1cd",
"model_id": "49137e65be394e08b3c2deadceb58d2b",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -300,7 +302,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "6711bc9d9d08450a82193b486cf42961",
"model_id": "7422cf131e0b4e309db5c43e64a92c06",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -314,7 +316,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "4012a7452b9e482eb53b7563b63097f7",
"model_id": "56bbb357fe374abfa499ae5059f4fd08",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -329,19 +331,19 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2025-10-31 23:17:00,717 — INFO — ✅ Model logged to MLflow at 'image_generation_model'\n",
"2025-11-13 15:58:07,500 — INFO — ✅ Model logged to MLflow at 'image_generation_model'\n",
"Successfully registered model 'ImageGenerationService'.\n",
"Created version '1' of model 'ImageGenerationService'.\n",
"2025-10-31 23:17:01,255 — INFO — 🏷️ Registered 'ImageGenerationService' (run 35b643b5d5f44f858050a7c6d2bec769)\n",
"2025-10-31 23:17:01,256 — INFO — Model deployment completed successfully\n"
"2025-11-13 15:58:08,086 — INFO — 🏷️ Registered 'ImageGenerationService' (run 82f53001bae14f359bb462f01c3f87d6)\n",
"2025-11-13 15:58:08,087 — INFO — Model deployment completed successfully\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 2.17 s, sys: 1min 35s, total: 1min 37s\n",
"Wall time: 12min 35s\n"
"CPU times: user 3.58 s, sys: 2min 35s, total: 2min 38s\n",
"Wall time: 14min 39s\n"
]
}
],
Expand All @@ -360,8 +362,8 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2025-10-31 23:17:01 - INFO - ⏱️ Total execution time: 12m 48.75s\n",
"2025-10-31 23:17:01 - INFO - ✅ Notebook execution completed successfully.\n"
"2025-11-13 15:58:08 - INFO - ⏱️ Total execution time: 15m 5.31s\n",
"2025-11-13 15:58:08 - INFO - ✅ Notebook execution completed successfully.\n"
]
}
],
Expand Down
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