Open Hsad opened 1 year ago
The latents passed to lerp_latent are overwritten by the function
use multiple lerp_latent nodes, the result will drift from the expected mixture.
The input latents should remain uneffected by the node
Linux
In a custom virtual env (venv, virtualenv, conda...)
No response
The solution appears to be replacing the lerp_latent function body with this line
def lerp_latent(self, A, B, t): return ({"samples":(torch.lerp(A["samples"], B["samples"], t))},)
This is still an issue with this node.
Describe the bug
The latents passed to lerp_latent are overwritten by the function
Reproduction
use multiple lerp_latent nodes, the result will drift from the expected mixture.
Expected behavior
The input latents should remain uneffected by the node
Operating System
Linux
Comfy Mode
In a custom virtual env (venv, virtualenv, conda...)
Console output
No response
Additional context
The solution appears to be replacing the lerp_latent function body with this line