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Browse files- gradio_app.py +3 -1
- requirements.txt +2 -1
gradio_app.py
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@@ -1,6 +1,7 @@
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from __future__ import annotations
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import gradio as gr
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from PIL import Image
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import torch
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@@ -22,12 +23,13 @@ scheduler_type = Scheduler_Type.EULER
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image_size = model_type_to_size(Model_Type.SDXL_Turbo)
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pipe_inversion, pipe_inference = get_pipes(model_type, scheduler_type, device=device)
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cache_size =
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prev_configs = [None for i in range(cache_size)]
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prev_inv_latents = [None for i in range(cache_size)]
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prev_images = [None for i in range(cache_size)]
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prev_noises = [None for i in range(cache_size)]
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def main_pipeline(
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input_image: str,
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src_prompt: str,
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from __future__ import annotations
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import gradio as gr
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import spaces
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from PIL import Image
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import torch
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image_size = model_type_to_size(Model_Type.SDXL_Turbo)
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pipe_inversion, pipe_inference = get_pipes(model_type, scheduler_type, device=device)
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cache_size = 25
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prev_configs = [None for i in range(cache_size)]
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prev_inv_latents = [None for i in range(cache_size)]
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prev_images = [None for i in range(cache_size)]
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prev_noises = [None for i in range(cache_size)]
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@spaces.GPU
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def main_pipeline(
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input_image: str,
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src_prompt: str,
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requirements.txt
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gradio
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-
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torchvision==0.17.1
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diffusers==0.24.0
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transformers==4.32.1
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gradio
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spaces
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torch==2.2.0
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torchvision==0.17.1
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diffusers==0.24.0
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transformers==4.32.1
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