mais testes

app.py

@@ -6,10 +6,17 @@ import random
 import logging
 import numpy as np
 from typing import Any, Dict, List, Optional, Union
-
+import gradio as gr
+import logging
 import torch
 from PIL import Image
-import gradio as gr
+import spaces
+from diffusers import DiffusionPipeline, AutoencoderTiny, AutoencoderKL, AutoPipelineForImage2Image
+from live_preview_helpers import calculate_shift, retrieve_timesteps, flux_pipe_call_that_returns_an_iterable_of_images
+from diffusers.utils import load_image
+from huggingface_hub import hf_hub_download, HfFileSystem, ModelCard, snapshot_download
+import requests
+import pandas as pd
 
 
 from diffusers import (
@@ -28,11 +35,9 @@ from huggingface_hub import (
 
 from diffusers.utils import load_image
 
-import spaces
 from huggingface_hub import HfApi
-
 token = os.getenv("HF_TOKEN")
-good_vae = AutoencoderKL.from_pretrained(base_model, subfolder="vae", torch_dtype=dtype, use_auth_token=token).to(device)
+
 
 #---if workspace = local or colab---