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Fix float64 device in ltx diffusion decoder. (#15516)

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comfyanonymous 2026-08-12 00:55:08 -07:00 committed by GitHub
parent 26d7f85568
commit bd34f338ac
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1 changed files with 6 additions and 1 deletions
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comfy/ldm/lightricks/vae/na_diffusion_decoder.py
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@ -22,6 +22,7 @@ import torch
import torch.nn.functional as F
from einops import rearrange
from torch import nn
import comfy.model_management
from comfy.ldm.lightricks.model import get_timestep_embedding
from .causal_video_autoencoder import Encoder, processor
@ -74,8 +75,12 @@ def default_rope_dim_split(head_dim):
def rope_inv_freqs(dim, base=10000.0, device=None):
out_device = device
if not comfy.model_management.supports_fp64(device):
device = torch.device("cpu")
exponents = torch.arange(0, dim, 2, dtype=torch.float64, device=device) / dim
return (1.0 / torch.pow(torch.tensor(float(base), dtype=torch.float64, device=device), exponents)).to(torch.float32)
return (1.0 / torch.pow(torch.tensor(float(base), dtype=torch.float64, device=device), exponents)).to(dtype=torch.float32, device=out_device)
def _rope_tables(lengths, inv_freqs, device):