Open majestichou opened 1 month ago
@amumu96 Could you help to see the issue?
@amumu96 The error still exist with the model sd3-medium
,
I downloaded the model weight of sd3-medium (which model id is "stabilityai/stable-diffusion-3-medium", i don't download "stabilityai/stable-diffusion-3-medium-diffusers" ) to the local computer, and then used Xinference (v0.12.3,docker container) to register the model sd3-medium to sd3-medium-self. After that, I started the custom model sd3-medium-self. The startup failed, and the following error message was displayed: IndexError: [address=0.0.0.0:13144, pid=97] list index out of range
Same here
我也遇到了这个问题 2024-07-10 16:42:21,580 xinference.model.utils 100680 INFO Model caching from URI: /data/model/AI-ModelScope/stable-diffusion-3-medium 2024-07-10 16:42:21,581 xinference.model.utils 100680 INFO cache /data/model/AI-ModelScope/stable-diffusion-3-medium exists 2024-07-10 16:42:21,581 xinference.core.worker 100680 ERROR Failed to load model stable-diffusion-3-medium-1-0 Traceback (most recent call last): File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xinference/core/worker.py", line 663, in launch_builtin_model await self.update_cache_status(model_name, model_description) File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xinference/core/worker.py", line 561, in update_cache_status model_path = version_info[0]["model_file_location"] IndexError: list index out of range 2024-07-10 16:42:21,623 xinference.api.restful_api 100579 ERROR [address=0.0.0.0:18173, pid=100680] list index out of range Traceback (most recent call last): File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xinference/api/restful_api.py", line 822, in launch_model model_uid = await (await self._get_supervisor_ref()).launch_builtin_model( File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xoscar/backends/context.py", line 227, in send return self._process_result_message(result) File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xoscar/backends/context.py", line 102, in _process_result_message raise message.as_instanceof_cause() File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xoscar/backends/pool.py", line 659, in send result = await self._run_coro(message.message_id, coro) File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xoscar/backends/pool.py", line 370, in _run_coro return await coro File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xoscar/api.py", line 384, in on_receive return await super().on_receive(message) # type: ignore File "xoscar/core.pyx", line 558, in on_receive__ raise ex File "xoscar/core.pyx", line 520, in xoscar.core._BaseActor.on_receive async with self._lock: File "xoscar/core.pyx", line 521, in xoscar.core._BaseActor.on_receive with debug_async_timeout('actor_lock_timeout', File "xoscar/core.pyx", line 526, in xoscar.core._BaseActor.__on_receive result = await result File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xinference/core/supervisor.py", line 871, in launch_builtin_model await _launch_model() File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xinference/core/supervisor.py", line 835, in _launch_model await _launch_one_model(rep_model_uid) File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xinference/core/supervisor.py", line 816, in _launch_one_model await worker_ref.launch_builtin_model( File "xoscar/core.pyx", line 284, in __pyx_actor_method_wrapper async with lock: File "xoscar/core.pyx", line 287, in xoscar.core.__pyx_actor_method_wrapper result = await result File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xinference/core/utils.py", line 45, in wrapped ret = await func(*args, **kwargs) File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xinference/core/worker.py", line 663, in launch_builtin_model await self.update_cache_status(model_name, model_description) File "/data/conda/envs/xinference_env/lib/python3.8/site-packages/xinference/core/worker.py", line 561, in update_cache_status model_path = version_info[0]["model_file_location"] IndexError: [address=0.0.0.0:18173, pid=100680] list index out of range
Describe the bug
Due to network restrictions, I cannot use Xinference to pull models online. I downloaded the model weight of sdxl-turbo to the local computer, and then used Xinference (docker container) to register the model sdxl-turbo to
sdxl-turbo-self
. After that, I started the custom modelsdxl-turbo-self
. The startup failed, and the following error message was displayed:Server error: 5000 -[address=0.0.0.0:58812, pid=95] list index out of range
To Reproduce
To help us to reproduce this bug, please provide information below: