PyTorch 2.3.0 Incompatibility with Current Diffusers Library about diffusers

[JethroChow]

The solution is to downgrade the torch version to v2.1.2.

[tolgacangoz]

In Google Colab's T4, one is able to use diffusers with PyTorch 2.3. Could you be sure that PyTorch 2.3 and its CUDA parts are installed properly in its environment? Also, installation in a fresh new environment can be tried. Lastly, could I ask your GPU's model name and its vRAM?

[JethroChow]

(base) tides@VM-112-2-ubuntu:~/StableDiffusionNotebooks$ nvidia-smi
Fri May 17 13:54:15 2024
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA A10 On | 00000000:0B:01.0 Off | 0 |
| 0% 30C P8 14W / 150W | 0MiB / 23028MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 1 NVIDIA A10 On | 00000000:0B:02.0 Off | 0 |
| 0% 31C P8 14W / 150W | 2MiB / 23028MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 2 NVIDIA A10 On | 00000000:0B:03.0 Off | 0 |
| 0% 30C P8 14W / 150W | 0MiB / 23028MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 3 NVIDIA A10 On | 00000000:0B:04.0 Off | 0 |
| 0% 29C P8 13W / 150W | 0MiB / 23028MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+

[tolgacangoz]

You also tried installing the torch in a fresh new environment, right?

[JethroChow]

yes