Open LianTianNo1 opened 5 months ago
Same, any fix or idea ?
@LianTianNo1 @donatienLef There's been some discussion here about hardcoding half precision in ToonCrafter's code to make it take <24GB VRAM.
@donatienLef @LianTianNo1 We impl the low vram version. Try the latest branch for testing.
Error occurred when executing ToonCrafterNode:
Allocation on device 0 would exceed allowed memory. (out of memory) Currently allocated : 22.16 GiB Requested : 1.25 GiB Device limit : 23.99 GiB Free (according to CUDA): 0 bytes PyTorch limit (set by user-supplied memory fraction) : 17179869184.00 GiB
File "E:\soft\ComfyUI-aki-v1.2\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "E:\soft\ComfyUI-aki-v1.2\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "E:\soft\ComfyUI-aki-v1.2\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "E:\soft\ComfyUI-aki-v1.2\custom_nodes\ComfyUI-ToonCrafter__init__.py", line 161, in get_image z, hs = self.get_latent_z_with_hidden_states(model, videos) File "E:\soft\ComfyUI-aki-v1.2\custom_nodes\ComfyUI-ToonCrafter__init__.py", line 218, in get_latent_z_with_hidden_states encoder_posterior, hidden_states = model.first_stage_model.encode(x, return_hidden_states=True) File "E:\soft/ComfyUI-aki-v1.2/custom_nodes/ComfyUI-ToonCrafter/ToonCrafter\lvdm\models\autoencoder.py", line 106, in encode h, hidden = self.encoder(x, return_hidden_states) File "E:\soft\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "E:\soft\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(args, kwargs) File "E:\soft/ComfyUI-aki-v1.2/custom_nodes/ComfyUI-ToonCrafter/ToonCrafter\lvdm\modules\networks\ae_modules.py", line 454, in forward h = self.down[i_level].block[i_block](hs[-1], temb) File "E:\soft\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "E:\soft\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(args, *kwargs) File "E:\soft/ComfyUI-aki-v1.2/custom_nodes/ComfyUI-ToonCrafter/ToonCrafter\lvdm\modules\networks\ae_modules.py", line 200, in forward h = nonlinearity(h) File "E:\soft/ComfyUI-aki-v1.2/custom_nodes/ComfyUI-ToonCrafter/ToonCrafter\lvdm\modules\networks\ae_modules.py", line 15, in nonlinearity return x torch.sigmoid(x)