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Update app.py
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app.py
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@@ -1,5 +1,4 @@
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import gradio as gr
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import numpy as np
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import random
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@@ -9,6 +8,8 @@ from diffusers import DiffusionPipeline, FlowMatchEulerDiscreteScheduler, Autoe
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from transformers import CLIPTextModel, CLIPTokenizer,T5EncoderModel, T5TokenizerFast
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from live_preview_helpers import calculate_shift, retrieve_timesteps, flux_pipe_call_that_returns_an_iterable_of_images
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dtype = torch.bfloat16
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device = "cuda" if torch.cuda.is_available() else "cpu"
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import os
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import gradio as gr
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import numpy as np
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import random
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from transformers import CLIPTextModel, CLIPTokenizer,T5EncoderModel, T5TokenizerFast
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from live_preview_helpers import calculate_shift, retrieve_timesteps, flux_pipe_call_that_returns_an_iterable_of_images
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hf_token = os.getenv("HF_TOKEN")
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dtype = torch.bfloat16
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device = "cuda" if torch.cuda.is_available() else "cpu"
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