RuntimeError: Input type (torch.cuda.HalfTensor) and weight type (torch.HalfTensor) should be the same

[matrix4767]

ERROR: Exception in ASGI application██████████████████████████████████████████████████████████████████████████▌ | 15/30 [00:13<00:14, 1.02it/s] Traceback (most recent call last): File "G:\stable-webui\venv\lib\site-packages\anyio\streams\memory.py", line 94, in receive return self.receive_nowait() File "G:\stable-webui\venv\lib\site-packages\anyio\streams\memory.py", line 89, in receive_nowait raise WouldBlock anyio.WouldBlock

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "G:\stable-webui\venv\lib\site-packages\starlette\middleware\base.py", line 77, in call_next message = await recv_stream.receive() File "G:\stable-webui\venv\lib\site-packages\anyio\streams\memory.py", line 114, in receive raise EndOfStream anyio.EndOfStream

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "G:\stable-webui\venv\lib\site-packages\uvicorn\protocols\http\h11_impl.py", line 407, in run_asgi result = await app( # type: ignore[func-returns-value] File "G:\stable-webui\venv\lib\site-packages\uvicorn\middleware\proxy_headers.py", line 78, in call return await self.app(scope, receive, send) File "G:\stable-webui\venv\lib\site-packages\fastapi\applications.py", line 271, in call await super().call(scope, receive, send) File "G:\stable-webui\venv\lib\site-packages\starlette\applications.py", line 125, in call await self.middleware_stack(scope, receive, send) File "G:\stable-webui\venv\lib\site-packages\starlette\middleware\errors.py", line 184, in call raise exc File "G:\stable-webui\venv\lib\site-packages\starlette\middleware\errors.py", line 162, in call await self.app(scope, receive, _send) File "G:\stable-webui\venv\lib\site-packages\starlette\middleware\base.py", line 106, in call response = await self.dispatch_func(request, call_next) File "G:\stable-webui\modules\api\api.py", line 96, in log_and_time res: Response = await call_next(req) File "G:\stable-webui\venv\lib\site-packages\starlette\middleware\base.py", line 80, in call_next raise app_exc File "G:\stable-webui\venv\lib\site-packages\starlette\middleware\base.py", line 69, in coro await self.app(scope, receive_or_disconnect, send_no_error) File "G:\stable-webui\venv\lib\site-packages\starlette\middleware\gzip.py", line 24, in call await responder(scope, receive, send) File "G:\stable-webui\venv\lib\site-packages\starlette\middleware\gzip.py", line 44, in call await self.app(scope, receive, self.send_with_gzip) File "G:\stable-webui\venv\lib\site-packages\starlette\middleware\exceptions.py", line 79, in call raise exc File "G:\stable-webui\venv\lib\site-packages\starlette\middleware\exceptions.py", line 68, in call await self.app(scope, receive, sender) File "G:\stable-webui\venv\lib\site-packages\fastapi\middleware\asyncexitstack.py", line 21, in call raise e File "G:\stable-webui\venv\lib\site-packages\fastapi\middleware\asyncexitstack.py", line 18, in call await self.app(scope, receive, send) File "G:\stable-webui\venv\lib\site-packages\starlette\routing.py", line 706, in call await route.handle(scope, receive, send) File "G:\stable-webui\venv\lib\site-packages\starlette\routing.py", line 276, in handle await self.app(scope, receive, send) File "G:\stable-webui\venv\lib\site-packages\starlette\routing.py", line 66, in app response = await func(request) File "G:\stable-webui\venv\lib\site-packages\fastapi\routing.py", line 237, in app raw_response = await run_endpoint_function( File "G:\stable-webui\venv\lib\site-packages\fastapi\routing.py", line 165, in run_endpoint_function return await run_in_threadpool(dependant.call, **values) File "G:\stable-webui\venv\lib\site-packages\starlette\concurrency.py", line 41, in run_in_threadpool return await anyio.to_thread.run_sync(func, *args) File "G:\stable-webui\venv\lib\site-packages\anyio\to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "G:\stable-webui\venv\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "G:\stable-webui\venv\lib\site-packages\anyio_backends_asyncio.py", line 867, in run result = context.run(func, *args) File "G:\stable-webui\modules\progress.py", line 85, in progressapi shared.state.set_current_image() File "G:\stable-webui\modules\shared.py", line 243, in set_current_image self.do_set_current_image() File "G:\stable-webui\modules\shared.py", line 251, in do_set_current_image self.assign_current_image(modules.sd_samplers.samples_to_image_grid(self.current_latent)) File "G:\stable-webui\modules\sd_samplers_common.py", line 50, in samples_to_image_grid return images.image_grid([single_sample_to_image(sample, approximation) for sample in samples]) File "G:\stable-webui\modules\sd_samplers_common.py", line 50, in return images.image_grid([single_sample_to_image(sample, approximation) for sample in samples]) File "G:\stable-webui\modules\sd_samplers_common.py", line 37, in single_sample_to_image x_sample = processing.decode_first_stage(shared.sd_model, sample.unsqueeze(0))[0] File "G:\stable-webui\modules\processing.py", line 423, in decode_first_stage x = model.decode_first_stage(x) File "G:\stable-webui\modules\sd_hijack_utils.py", line 17, in setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs)) File "G:\stable-webui\modules\sd_hijack_utils.py", line 28, in call return self.__orig_func(*args, **kwargs) File "G:\stable-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "G:\stable-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 826, in decode_first_stage return self.first_stage_model.decode(z) File "G:\stable-webui\repositories\stable-diffusion-stability-ai\ldm\models\autoencoder.py", line 89, in decode z = self.post_quant_conv(z) File "G:\stable-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(*input, **kwargs) File "G:\stable-webui\extensions-builtin\Lora\lora.py", line 182, in lora_Conv2d_forward return lora_forward(self, input, torch.nn.Conv2d_forward_before_lora(self, input)) File "G:\stable-webui\venv\lib\site-packages\torch\nn\modules\conv.py", line 463, in forward return self._conv_forward(input, self.weight, self.bias) File "G:\stable-webui\venv\lib\site-packages\torch\nn\modules\conv.py", line 459, in _conv_forward return F.conv2d(input, weight, bias, self.stride, RuntimeError: Input type (torch.cuda.HalfTensor) and weight type (torch.HalfTensor) should be the same

[matrix4767]

I think I found the cause. It was the Low vram option.

[JuanMolanoR]

I think I found the cause. It was the Low vram option.

Bro I have been struggling with this for the last 3 hours. Thank you so much!!