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Running
on
Zero
Upload example images
Browse files- app.py +31 -3
- assets/example_images/ID_1.jpg +0 -0
- assets/example_images/ID_16.jpg +0 -0
- assets/example_images/ID_20.jpg +0 -0
- assets/example_images/ID_5.jpg +0 -0
app.py
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@@ -2,7 +2,7 @@ import gradio as gr
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import numpy as np
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import random
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import spaces # Uncomment if using ZeroGPU
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-
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from diffusers import StableDiffusionPipeline, DDPMScheduler
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import torch
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@@ -21,12 +21,14 @@ folder_of_lora_weights = "./ID-Booth_LoRA_weights"
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which_checkpoint = "checkpoint-31-6400"
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lora_name = "pytorch_lora_weights.safetensors"
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backgrounds_list = ["forest", "city street", "beach", "office", "bus", "laboratory", "factory", "construction site", "hospital", "night club", ""]
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poses_list = ["portrait", "side-portrait"]
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id_list = ["ID_0", "ID_1", "ID_2"]
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gender_dict = {"
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MAX_SEED = 10000
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image_size = 512
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@@ -85,6 +87,32 @@ with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown(" # ID-Booth Demo")
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with gr.Row():
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which_id = gr.Dropdown(
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label="Identity",
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import numpy as np
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import random
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import spaces # Uncomment if using ZeroGPU
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import os
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from diffusers import StableDiffusionPipeline, DDPMScheduler
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import torch
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which_checkpoint = "checkpoint-31-6400"
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lora_name = "pytorch_lora_weights.safetensors"
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selected_identity = gr.State(value="ID_0") # Default selection
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folder_of_identity_images = "./assets/example_images/"
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backgrounds_list = ["forest", "city street", "beach", "office", "bus", "laboratory", "factory", "construction site", "hospital", "night club", ""]
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poses_list = ["portrait", "side-portrait"]
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id_list = ["ID_0", "ID_1", "ID_2", "ID_3"]
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gender_dict = {"ID_1": "male", "ID_5": "male", "ID_16": "female", "ID_20": "male"}
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MAX_SEED = 10000
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image_size = 512
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with gr.Column(elem_id="col-container"):
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gr.Markdown(" # ID-Booth Demo")
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with gr.Row():
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#gr.Markdown("### Choose an Identity:")
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identity_selectors = []
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for id in id_list:
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btn = gr.Image(
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value=os.path.join(folder_of_identity_images, id + ".jpg"),
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label=id,
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interactive=True,
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height=128,
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width=128,
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)
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identity_selectors.append(btn)
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# Set up click handlers
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def select_identity(id):
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return id
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for btn, identity in zip(identity_selectors, folder_of_identity_images):
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btn.select(
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select_identity,
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inputs=[],
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outputs=[selected_identity],
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_js=f"() => '{identity}'"
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)
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with gr.Row():
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which_id = gr.Dropdown(
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label="Identity",
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assets/example_images/ID_1.jpg
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assets/example_images/ID_16.jpg
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assets/example_images/ID_20.jpg
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assets/example_images/ID_5.jpg
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