Fix linting

modules/sd_samplers_common.py

@@ -55,7 +55,7 @@ def samples_to_images_tensor(sample, approximation=None, model=None):
         with devices.autocast(), torch.no_grad():
             x_sample = sd_vae_consistency.decoder_model()(
                 sample.to(devices.device, devices.dtype)/0.18215,
-                schedule=[1.0]
+                schedule=[1.0],
             )
         sd_vae_consistency.unload()
     else:

modules/sd_vae_consistency.py

@@ -5,8 +5,6 @@ Improved decoding for stable diffusion vaes.
 https://github.com/openai/consistencydecoder
 """
 import os
-import torch
-import torch.nn as nn
 
 from modules import devices, paths_internal, shared
 from consistencydecoder import ConsistencyDecoder