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2023-10-21 04:23:49.929744: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/usr/local/lib/python3.10/dist-packages/torchvision/transforms/functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be removed in 0.17. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
warnings.warn(
[2023-10-21 04:23:55,170]::[InvokeAI]::INFO --> Patchmatch initialized
[2023-10-21 04:23:56,218]::[uvicorn.error]::INFO --> Started server process [16404]
[2023-10-21 04:23:56,219]::[uvicorn.error]::INFO --> Waiting for application startup.
[2023-10-21 04:23:56,219]::[InvokeAI]::INFO --> InvokeAI version 3.3.0post3
[2023-10-21 04:23:56,219]::[InvokeAI]::INFO --> Root directory = /content/invokeai
[2023-10-21 04:23:56,220]::[InvokeAI]::INFO --> Using database at /content/invokeai/databases/invokeai.db
[2023-10-21 04:23:56,226]::[InvokeAI]::INFO --> GPU device = cuda Tesla T4
[2023-10-21 04:23:56,230]::[InvokeAI]::INFO --> Scanning /content/invokeai/models for new models
[2023-10-21 04:23:56,566]::[InvokeAI]::INFO --> Scanned 9 files and directories, imported 0 models
[2023-10-21 04:23:56,569]::[InvokeAI]::INFO --> Model manager service initialized
[2023-10-21 04:23:56,589]::[InvokeAI]::INFO --> Pruned 0 finished queue items
[2023-10-21 04:23:56,601]::[InvokeAI]::INFO --> Cleaned database
[2023-10-21 04:23:56,602]::[uvicorn.error]::INFO --> Application startup complete.
[2023-10-21 04:23:56,602]::[uvicorn.error]::INFO --> Uvicorn running on http://127.0.0.1:9090/ (Press CTRL+C to quit)

[2023-11-18 20:40:01,201]::[InvokeAI]::ERROR --> Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/invokeai/app/services/invocation_processor/invocation_processor_default.py", line 104, in __process outputs = invocation.invoke_internal( File "/usr/local/lib/python3.10/dist-packages/invokeai/app/invocations/baseinvocation.py", line 591, in invoke_internal output = self.invoke(context) File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/usr/local/lib/python3.10/dist-packages/invokeai/app/invocations/latent.py", line 761, in invoke ) = pipeline.latents_from_embeddings( File "/usr/local/lib/python3.10/dist-packages/invokeai/backend/stable_diffusion/diffusers_pipeline.py", line 388, in latents_from_embeddings latents, attention_map_saver = self.generate_latents_from_embeddings( File "/usr/local/lib/python3.10/dist-packages/invokeai/backend/stable_diffusion/diffusers_pipeline.py", line 419, in generate_latents_from_embeddings self._adjust_memory_efficient_attention(latents) File "/usr/local/lib/python3.10/dist-packages/invokeai/backend/stable_diffusion/diffusers_pipeline.py", line 295, in _adjust_memory_efficient_attention self.enable_xformers_memory_efficient_attention() File "/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/pipeline_utils.py", line 1999, in enable_xformers_memory_efficient_attention self.set_use_memory_efficient_attention_xformers(True, attention_op) File "/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/pipeline_utils.py", line 2025, in set_use_memory_efficient_attention_xformers fn_recursive_set_mem_eff(module) File "/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/pipeline_utils.py", line 2015, in fn_recursive_set_mem_eff module.set_use_memory_efficient_attention_xformers(valid, attention_op) File "/usr/local/lib/python3.10/dist-packages/diffusers/models/modeling_utils.py", line 255, in set_use_memory_efficient_attention_xformers fn_recursive_set_mem_eff(module) File "/usr/local/lib/python3.10/dist-packages/diffusers/models/modeling_utils.py", line 251, in fn_recursive_set_mem_eff fn_recursive_set_mem_eff(child) File "/usr/local/lib/python3.10/dist-packages/diffusers/models/modeling_utils.py", line 251, in fn_recursive_set_mem_eff fn_recursive_set_mem_eff(child) File "/usr/local/lib/python3.10/dist-packages/diffusers/models/modeling_utils.py", line 251, in fn_recursive_set_mem_eff fn_recursive_set_mem_eff(child) File "/usr/local/lib/python3.10/dist-packages/diffusers/models/modeling_utils.py", line 248, in fn_recursive_set_mem_eff module.set_use_memory_efficient_attention_xformers(valid, attention_op) File "/usr/local/lib/python3.10/dist-packages/diffusers/models/modeling_utils.py", line 255, in set_use_memory_efficient_attention_xformers fn_recursive_set_mem_eff(module) File "/usr/local/lib/python3.10/dist-packages/diffusers/models/modeling_utils.py", line 251, in fn_recursive_set_mem_eff fn_recursive_set_mem_eff(child) File "/usr/local/lib/python3.10/dist-packages/diffusers/models/modeling_utils.py", line 251, in fn_recursive_set_mem_eff fn_recursive_set_mem_eff(child) File "/usr/local/lib/python3.10/dist-packages/diffusers/models/modeling_utils.py", line 248, in fn_recursive_set_mem_eff module.set_use_memory_efficient_attention_xformers(valid, attention_op) File "/usr/local/lib/python3.10/dist-packages/diffusers/models/attention_processor.py", line 268, in set_use_memory_efficient_attention_xformers raise e File "/usr/local/lib/python3.10/dist-packages/diffusers/models/attention_processor.py", line 262, in set_use_memory_efficient_attention_xformers _ = xformers.ops.memory_efficient_attention( File "/usr/local/lib/python3.10/dist-packages/invokeai/backend/util/hotfixes.py", line 824, in new_memory_efficient_attention return _xformers_memory_efficient_attention( File "/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/init.py", line 223, in memory_efficient_attention return _memory_efficient_attention( File "/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/init.py", line 321, in _memory_efficient_attention return _memory_efficient_attention_forward( File "/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/init.py", line 337, in _memory_efficient_attention_forward op = _dispatch_fw(inp, False) File "/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/dispatch.py", line 120, in _dispatch_fw return _run_priority_list( File "/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/dispatch.py", line 63, in _run_priority_list raise NotImplementedError(msg) NotImplementedError: No operator found for memory_efficient_attention_forward with inputs: query : shape=(1, 2, 1, 40) (torch.float32) key : shape=(1, 2, 1, 40) (torch.float32) value : shape=(1, 2, 1, 40) (torch.float32) attn_bias : <class 'NoneType'> p : 0.0 decoderF is not supported because: xFormers wasn't build with CUDA support attn_bias type is <class 'NoneType'> operator wasn't built - see python -m xformers.info for more info [email protected] is not supported because: xFormers wasn't build with CUDA support requires device with capability > (8, 0) but your GPU has capability (7, 5) (too old) dtype=torch.float32 (supported: {torch.float16, torch.bfloat16}) operator wasn't built - see python -m xformers.info for more info tritonflashattF is not supported because: xFormers wasn't build with CUDA support requires device with capability > (8, 0) but your GPU has capability (7, 5) (too old) dtype=torch.float32 (supported: {torch.float16, torch.bfloat16}) operator wasn't built - see python -m xformers.info for more info triton is not available requires GPU with sm80 minimum compute capacity, e.g., A100/H100/L4 Only work on pre-MLIR triton for now cutlassF is not supported because: xFormers wasn't build with CUDA support operator wasn't built - see python -m xformers.info for more info smallkF is not supported because: max(query.shape[-1] != value.shape[-1]) > 32 xFormers wasn't build with CUDA support operator wasn't built - see python -m xformers.info for more info unsupported embed per head: 40.