RuntimeError: GET was unable to find an engine to execute this computation

[hysel]

Hi

I am new to the solution.

Installation seems to be fine, but when I try to even generate the sample song, I see this screen:

The log file shows this error:

Loading weights: 100%|████████████████████████████████████████████████████████████████████████████| 122/122 [00:00<00:00, 1706.65it/s] 2026-03-12 15:07:31.505 | INFO | acestep.pipeline_ace_step:__call__:1501 - Model loaded in 5.54 seconds. 2026-03-12 15:07:31.817 | INFO | acestep.pipeline_ace_step:__call__:1549 - random audio duration: 119.6654191297021 2026-03-12 15:07:31.817 | INFO | acestep.pipeline_ace_step:text2music_diffusion_process:847 - cfg_type: apg, guidance_scale: 15, omega_scale: 10 2026-03-12 15:07:31.820 | INFO | acestep.pipeline_ace_step:text2music_diffusion_process:1085 - start_idx: 15, end_idx: 45, num_inference_steps: 60 100%|█████████████████████████████████████████████████████████████████████████████████████████████████| 60/60 [01:03<00:00, 1.06s/it] Traceback (most recent call last): File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/gradio/queueing.py", line 745, in process_events response = await route_utils.call_process_api( File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/gradio/route_utils.py", line 354, in call_process_api output = await app.get_blocks().process_api( File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/gradio/blocks.py", line 2116, in process_api result = await self.call_function( File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/gradio/blocks.py", line 1623, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/anyio/to_thread.py", line 63, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2502, in run_sync_in_worker_thread return await future File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 986, in run result = context.run(func, *args) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/gradio/utils.py", line 915, in wrapper response = f(*args, **kwargs) File "/opt/ACE-Step/acestep/pipeline_ace_step.py", line 1677, in __call__ output_paths = self.latents2audio( File "/opt/ACE-Step/acestep/cpu_offload.py", line 32, in wrapper return func(self, *args, **kwargs) File "/opt/ACE-Step/acestep/pipeline_ace_step.py", line 1377, in latents2audio _, pred_wavs = self.music_dcae.decode(pred_latents, sr=sample_rate) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context return func(*args, **kwargs) File "/opt/ACE-Step/acestep/music_dcae/music_dcae_pipeline.py", line 121, in decode mels = self.dcae.decoder(latent.unsqueeze(0)) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl return forward_call(*args, **kwargs) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/diffusers/models/autoencoders/autoencoder_dc.py", line 372, in forward hidden_states = up_block(hidden_states) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl return forward_call(*args, **kwargs) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/container.py", line 253, in forward input = module(input) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl return forward_call(*args, **kwargs) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/diffusers/models/autoencoders/autoencoder_dc.py", line 92, in forward x = self.attn(x) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl return forward_call(*args, **kwargs) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/diffusers/models/attention_processor.py", line 929, in forward return self.processor(self, hidden_states) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/diffusers/models/attention_processor.py", line 5271, in __call__ multi_scale_qkv.append(block(hidden_states)) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl return forward_call(*args, **kwargs) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/diffusers/models/attention_processor.py", line 861, in forward hidden_states = self.proj_in(hidden_states) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl return forward_call(*args, **kwargs) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 553, in forward return self._conv_forward(input, self.weight, self.bias) File "/root/miniconda3/envs/ace_step/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 548, in _conv_forward return F.conv2d( RuntimeError: GET was unable to find an engine to execute this computation

I am running the solution inside a Proxmox container, and I have a NVIDIA v100-SXM2-32GB as the GPU

Please help