neo7team commited on
Commit
dd93344
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1 Parent(s): e86fe42

Update app.py

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Files changed (1) hide show
  1. app.py +5 -6
app.py CHANGED
@@ -8,12 +8,11 @@ from PIL import Image
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  from deep_translator import GoogleTranslator
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  import json
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- # Project by TotoB12
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- API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
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  API_TOKEN = os.getenv("HF_READ_TOKEN")
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  headers = {"Authorization": f"Bearer {API_TOKEN}"}
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- timeout = 100
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  # Function to query the API and return the generated image
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  def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, width=1024, height=1024):
@@ -71,7 +70,7 @@ css = """
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  # Build the Gradio UI with Blocks
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  with gr.Blocks(css=css) as app:
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  # Add a title to the app
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- gr.HTML("<center><h1>FLUX.1-Schnell</h1></center>")
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  # Container for all the UI elements
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  with gr.Column(elem_id="app-container"):
@@ -86,8 +85,8 @@ with gr.Blocks(css=css) as app:
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  with gr.Accordion("Advanced Settings", open=False):
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  negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
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  with gr.Row():
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- width = gr.Slider(label="Width", value=1024, minimum=64, maximum=4096, step=32)
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- height = gr.Slider(label="Height", value=1024, minimum=64, maximum=4096, step=32)
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  steps = gr.Slider(label="Sampling steps", value=4, minimum=1, maximum=100, step=1)
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  cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1)
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  strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
 
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  from deep_translator import GoogleTranslator
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  import json
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+ API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3.5-large"
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  API_TOKEN = os.getenv("HF_READ_TOKEN")
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  headers = {"Authorization": f"Bearer {API_TOKEN}"}
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+ timeout = 1000
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  # Function to query the API and return the generated image
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  def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, width=1024, height=1024):
 
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  # Build the Gradio UI with Blocks
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  with gr.Blocks(css=css) as app:
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  # Add a title to the app
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+ gr.HTML("<center><h1>SDXL 3.5</h1></center>")
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  # Container for all the UI elements
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  with gr.Column(elem_id="app-container"):
 
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  with gr.Accordion("Advanced Settings", open=False):
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  negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
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  with gr.Row():
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+ width = gr.Slider(label="Width", value=1024, minimum=64, maximum=2048, step=32)
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+ height = gr.Slider(label="Height", value=1024, minimum=64, maximum=2048, step=32)
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  steps = gr.Slider(label="Sampling steps", value=4, minimum=1, maximum=100, step=1)
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  cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1)
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  strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)