Open janoschsimon opened 4 weeks ago
If this happens call ray stop
on your CLI.
ok but now with the updated code i get
(T2VSynthMochiModel pid=4512) Timing init_process_group (can take 20-30 seconds) (T2VSynthMochiModel pid=4513) Timing load_text_encs (T2VSynthMochiModel pid=4513) Timing load_vae (T2VSynthMochiModel pid=4513) Timing init_process_group (can take 20-30 seconds) (T2VSynthMochiModel pid=4512) Timing load_text_encs (T2VSynthMochiModel pid=4513) Timing construct_dit (T2VSynthMochiModel pid=4513) Exception raised in creation task: The actor died because of an error raised in its creation task, ray::T2VSynthMochiModel.__init__() (pid=4513, ip=172.17.0.3, actor_id=226cd3320f9f844251edf18201000000, repr=<mochi_preview.t2v_synth_mochi.T2VSynthMochiModel object at 0x708890b118a0>) (T2VSynthMochiModel pid=4513) File "/workspace/models/src/mochi_preview/t2v_synth_mochi.py", line 250, in __init__ (T2VSynthMochiModel pid=4513) with open(dit_config_path, "r") as f: (T2VSynthMochiModel pid=4513) FileNotFoundError: [Errno 2] No such file or directory: '/workspace/models//dit-config.yaml' Traceback (most recent call last): File "/workspace/models/.venv/lib/python3.10/site-packages/gradio/queueing.py", line 624, in process_events response = await route_utils.call_process_api( File "/workspace/models/.venv/lib/python3.10/site-packages/gradio/route_utils.py", line 323, in call_process_api output = await app.get_blocks().process_api( File "/workspace/models/.venv/lib/python3.10/site-packages/gradio/blocks.py", line 2018, in process_api result = await self.call_function( File "/workspace/models/.venv/lib/python3.10/site-packages/gradio/blocks.py", line 1567, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "/workspace/models/.venv/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/workspace/models/.venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2441, in run_sync_in_worker_thread return await future File "/workspace/models/.venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 943, in run result = context.run(func, *args) File "/workspace/models/.venv/lib/python3.10/site-packages/gradio/utils.py", line 846, in wrapper response = f(*args, **kwargs) File "/workspace/models/src/mochi_preview/infer.py", line 73, in generate_video load_model() File "/workspace/models/src/mochi_preview/infer.py", line 38, in load_model model = MochiWrapper( File "/workspace/models/src/mochi_preview/handler.py", line 25, in __init__ ray.get(worker.__ray_ready__.remote()) File "/workspace/models/.venv/lib/python3.10/site-packages/ray/_private/auto_init_hook.py", line 21, in auto_init_wrapper return fn(*args, **kwargs) File "/workspace/models/.venv/lib/python3.10/site-packages/ray/_private/client_mode_hook.py", line 103, in wrapper return func(*args, **kwargs) File "/workspace/models/.venv/lib/python3.10/site-packages/ray/_private/worker.py", line 2745, in get values, debugger_breakpoint = worker.get_objects(object_refs, timeout=timeout) File "/workspace/models/.venv/lib/python3.10/site-packages/ray/_private/worker.py", line 903, in get_objects raise value ray.exceptions.ActorDiedError: The actor died because of an error raised in its creation task, ray::T2VSynthMochiModel.__init__() (pid=4513, ip=172.17.0.3, actor_id=226cd3320f9f844251edf18201000000, repr=<mochi_preview.t2v_synth_mochi.T2VSynthMochiModel object at 0x708890b118a0>) File "/workspace/models/src/mochi_preview/t2v_synth_mochi.py", line 250, in __init__ with open(dit_config_path, "r") as f: FileNotFoundError: [Errno 2] No such file or directory: '/workspace/models//dit-config.yaml'
Can you do git pull
and try again? I pushed a bunch of changes to the repository, so that file should no longer matter.
no so easy as renting 4xh100 is not cheap and loos the install with every session is there a way to use a preinstalls flash-attn because the installation takes from 30 to 90 min of wasted time also the t5 model would nice to download in adavanc e:)
thx
hey there i managed to get it installed on vast.ai with 4xH100 when i run the gradio_ui.py i get this error:
it would also be good if you ad demo.launch() demo.launch(share=True) as i guess not that many people have 4xH100 laying around at home hehe :D was sooo close to my first generation damn :D
cheers and thx janosch