gradio app.py error

[HarshadDolas07]

Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.
making attention of type 'vanilla-xformers' with 512 in_channels
building MemoryEfficientAttnBlock with 512 in_channels...
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla-xformers' with 512 in_channels
building MemoryEfficientAttnBlock with 512 in_channels...
--- using zero snr---
/home/harshad/Downloads/CRM/imagedream/ldm/interface.py:117: RuntimeWarning: divide by zero encountered in divide
"sqrt_recip_alphas_cumprod", to_torch(np.sqrt(1.0 / alphas_cumprod))
/home/harshad/Downloads/CRM/imagedream/ldm/interface.py:120: RuntimeWarning: divide by zero encountered in divide
"sqrt_recipm1_alphas_cumprod", to_torch(np.sqrt(1.0 / alphas_cumprod - 1))
Killed

After some time, while running the code, I encountered a 'divide by zero' error. It seems to occur during a division operation, which is likely causing the program to terminate unexpectedly. I suspect there might be an issue with the calculations or data processing logic in the code. The error message indicates that a division by zero was encountered, which is mathematically undefined. Could you please provide guidance on how to resolve this issue?

[thuwzy]

We use Zero SNR trick, which means that at maximum timestep the noise to signal ratio will be 1.0/0.0. However, in general the maximum step will not be used. How do you set the sampling timesteps of DDIM? Do you set as the default 50 steps?

[HarshadDolas07]

We use Zero SNR trick, which means that at maximum timestep the noise to signal ratio will be 1.0/0.0. However, in general the maximum step will not be used. How do you set the sampling timesteps of DDIM? Do you set as the default 50 steps?

I did not made any changes to the parameters, so I believe the default value for the sampling timesteps is being used.