Spaces:
Runtime error
Runtime error
Updated requirements and modified script
Browse files- README.md +15 -10
- app.py +40 -19
- requirements.txt +81 -5
README.md
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---
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title:
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emoji:
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colorFrom:
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sdk: gradio
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: "AI Image Generator"
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emoji: 🎨
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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python_version: 3.10
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sdk_version: 4.0
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suggested_hardware: "cpu-basic"
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app_file: "app.py"
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models:
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- prithivMLmods/SD3.5-Turbo-Realism-2.0-LoRA
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- Purz/face-projection
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tags:
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- stable-diffusion
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- text-to-image
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pinned: true
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---
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app.py
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import gradio as gr
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import torch
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from diffusers import StableDiffusionPipeline
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pipe.to(device)
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def generate_image(prompt):
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with torch.no_grad(): # Disable gradient calculation
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image = pipe(prompt=prompt).images[0] # Generate image
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return image
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with gr.Row():
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output = gr.Image(label="Generated Image")
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import gradio as gr
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import threading
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import os
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import torch
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os.environ["OMP_NUM_THREADS"] = str(os.cpu_count())
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torch.set_num_threads(os.cpu_count())
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model1 = gr.load("models/prithivMLmods/SD3.5-Turbo-Realism-2.0-LoRA")
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model2 = gr.load("models/Purz/face-projection")
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stop_event = threading.Event()
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def generate_image(text, selected_model):
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stop_event.clear()
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if selected_model == "Model 1 (Turbo Realism)":
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model = model1
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elif selected_model == "Model 2 (Face Projection)":
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model = model2
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else:
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return "Invalid model selection."
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if stop_event.is_set():
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return "Image generation stopped by user."
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return model(text)
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def stop_generation():
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"""Stops the ongoing image generation by setting the stop_event flag."""
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stop_event.set()
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return "Generation stopped."
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with gr.Blocks() as interface:
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text_input = gr.Textbox(label="Type your prompt:", placeholder="Enter your imagination...")
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model_selector = gr.Radio(
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["Model 1 (Turbo Realism)", "Model 2 (Face Projection)"],
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label="Select Model",
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value="Model 1 (Turbo Realism)"
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)
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with gr.Row():
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generate_button = gr.Button("Generate Image 🎨")
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stop_button = gr.Button("Stop Image Generation")
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output = gr.Image(label="Generated Image")
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generate_button.click(generate_image, inputs=[text_input, model_selector], outputs=output)
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stop_button.click(stop_generation, inputs=[], outputs=output)
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interface.launch()
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requirements.txt
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aiofiles==23.2.1
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altair==5.5.0
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annotated-types==0.7.0
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anyio==4.9.0
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attrs==25.3.0
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certifi==2025.1.31
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charset-normalizer==3.4.1
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click==8.1.8
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colorama==0.4.6
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contourpy==1.3.1
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cycler==0.12.1
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diffusers==0.32.2
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exceptiongroup==1.2.2
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fastapi==0.115.12
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ffmpy==0.5.0
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filelock==3.18.0
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fonttools==4.56.0
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fsspec==2025.3.0
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gradio==3.50.2
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gradio_client==0.6.1
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groovy==0.1.2
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h11==0.14.0
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httpcore==1.0.7
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httpx==0.28.1
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huggingface-hub==0.29.3
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idna==3.10
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importlib_metadata==8.6.1
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importlib_resources==6.5.2
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Jinja2==3.1.6
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jsonschema==4.23.0
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jsonschema-specifications==2024.10.1
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kiwisolver==1.4.8
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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matplotlib==3.10.1
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mdurl==0.1.2
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mpmath==1.3.0
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narwhals==1.32.0
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networkx==3.4.2
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numpy==1.26.4
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orjson==3.10.16
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packaging==24.2
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pandas==2.2.3
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pillow==10.4.0
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pydantic==2.11.0
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pydantic_core==2.33.0
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pydub==0.25.1
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Pygments==2.19.1
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pyparsing==3.2.3
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python-dateutil==2.9.0.post0
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python-multipart==0.0.20
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pytz==2025.2
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PyYAML==6.0.2
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referencing==0.36.2
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regex==2024.11.6
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requests==2.32.3
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rich==13.9.4
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rpds-py==0.24.0
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ruff==0.11.2
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safehttpx==0.1.6
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safetensors==0.5.3
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.17.0
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sniffio==1.3.1
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starlette==0.46.1
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sympy==1.13.1
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tokenizers==0.21.1
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tomlkit==0.13.2
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torch==2.6.0
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torchvision==0.21.0
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tqdm==4.67.1
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transformers==4.50.2
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typer==0.15.2
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typing-inspection==0.4.0
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typing_extensions==4.13.0
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tzdata==2025.2
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urllib3==2.3.0
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uvicorn==0.34.0
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websockets==11.0.3
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zipp==3.21.0
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