Add examples

README.md

@@ -25,6 +25,9 @@ For ComfyUI portable standalone build:
 
 ## Usage
 All nodes are classified under the vid2vid category.
+For some workflow examples you can check out:
+
+### [vid2vid workflow examples](https://github.com/sylym/comfy_vid2vid/releases/tag/v1.0.0)
 
 ## Nodes
 
@@ -198,7 +201,7 @@ Fine-tune the incoming model using latent vector and context, and convert the mo
     - The model that will be fine-tuned.
 
 - context: CONDITIONING
-    - The context that will be used to fine-tune the incoming model.
+    - The context used for fine-tuning the input model, typically consists of words or sentences describing the subject of the action in the latent vector and its behavior.
 
 **Outputs:**
 - MODEL

train_tuneavideo.py

@@ -8,7 +8,6 @@ import torch.utils.checkpoint
 from torch.utils.data import Dataset
 
 from accelerate import Accelerator
-from accelerate.logging import get_logger
 from accelerate.utils import set_seed
 from diffusers.optimization import get_scheduler
 from diffusers.utils import check_min_version
@@ -20,8 +19,6 @@ from einops import rearrange
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
 check_min_version("0.10.0.dev0")
 
-logger = get_logger(__name__, log_level="INFO")
-
 class TuneAVideoDataset(Dataset):
     def __init__(self):
         self.prompt_ids = None