[X] The issue exists after disabling all extensions
[ ] The issue exists on a clean installation of webui
[ ] The issue is caused by an extension, but I believe it is caused by a bug in the webui
[ ] The issue exists in the current version of the webui
[ ] The issue has not been reported before recently
[X] The issue has been reported before but has not been fixed yet
What happened?
* Error training embedding
Traceback (most recent call last):
File "H:\Forge\modules\textual_inversion\textual_inversion.py", line 547, in train_embedding
loss = shared.sd_model.forward(x, cond)[0] / gradient_step
File "H:\Forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 846, in forward
return self.p_losses(x, c, t, args, *kwargs)
File "H:\Forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 885, in p_losses
x_noisy = self.q_sample(x_start=x_start, t=t, noise=noise)
File "H:\Forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 356, in q_sample
return (extract_into_tensor(self.sqrt_alphas_cumprod, t, x_start.shape) x_start +
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
** Error training embedding
Traceback (most recent call last):
File "H:\Forge\modules\textual_inversion\textual_inversion.py", line 547, in train_embedding
loss = shared.sd_model.forward(x, cond)[0] / gradient_step
File "H:\Forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 846, in forward
return self.p_losses(x, c, t, *args, **kwargs)
File "H:\Forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 885, in p_losses
x_noisy = self.q_sample(x_start=x_start, t=t, noise=noise)
File "H:\Forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 356, in q_sample
return (extract_into_tensor(self.sqrt_alphas_cumprod, t, x_start.shape) * x_start +
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
Checklist
What happened?
* Error training embedding Traceback (most recent call last): File "H:\Forge\modules\textual_inversion\textual_inversion.py", line 547, in train_embedding loss = shared.sd_model.forward(x, cond)[0] / gradient_step File "H:\Forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 846, in forward return self.p_losses(x, c, t, args, *kwargs) File "H:\Forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 885, in p_losses x_noisy = self.q_sample(x_start=x_start, t=t, noise=noise) File "H:\Forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 356, in q_sample return (extract_into_tensor(self.sqrt_alphas_cumprod, t, x_start.shape) x_start + RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
Steps to reproduce the problem
Just start Traning embedding
What should have happened?
Train
What browsers do you use to access the UI ?
Google Chrome
Sysinfo
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"Revision=257" ] }, "Exceptions": [ { "exception": "Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!", "traceback": [ [ "H:\Forge\modules\textual_inversion\textual_inversion.py, line 547, train_embedding", "loss = shared.sd_model.forward(x, cond)[0] / gradient_step" ], [ "H:\Forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py, line 846, forward", "return self.p_losses(x, c, t, *args, *kwargs)" ], [ "H:\Forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py, line 885, p_losses", "x_noisy = self.q_sample(x_start=x_start, t=t, noise=noise)" ], [ "H:\Forge\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py, line 356, q_sample", "return (extract_into_tensor(self.sqrt_alphas_cumprod, t, x_start.shape) x_start +" ] ] } ], "CPU": { "model": "AMD64 Family 23 Model 1 Stepping 1, AuthenticAMD", "count logical": 16, "count physical": 8 }, "RAM": { "total": "32GB", "used": "14GB", 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Console logs
Additional information
I have updated my GPU driver recently.