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  license: mit
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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+ Skills Used to built this app:
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+ 🎨 AI/ML & Diffusion Model Skills
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+ Understanding diffusion models – how Stable Diffusion works.
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+ Using Hugging Face diffusers – loading and running pretrained pipelines.
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+ GPU/CPU optimization – switching between cuda and cpu, choosing float16 vs float32.
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+ Prompt engineering – crafting effective prompts for image generation.
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+ Negative prompting – removing unwanted artifacts from images.
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+ Random seed control – reproducibility in image generation.
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+ Model parameter tuning – adjusting guidance_scale, num_inference_steps.
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+ Memory optimization – handling large models (SDXL Turbo ~6GB).
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+ 🌐 Web App & UI Skills
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+ Gradio UI design – creating blocks, rows, sliders, and image outputs.
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+ Event handling in Gradio – binding run button, prompt submit, and examples.
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+ Custom styling (CSS) – controlling layout (#col-container).
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+ User experience (UX) design – hiding advanced settings but making them available.
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+ Interactive demos – gr.Examples, progress tracking.
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+ Frontend/backend linking – connecting UI inputs to model inference.
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+ ☁️ Deployment & DevOps Skills
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+ Hugging Face Spaces deployment – running apps in free/shared GPU environments.
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+ ZeroGPU understanding – optional GPU resource management.
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+ Creating requirements.txt – ensuring dependencies install correctly.
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+ Cloud CI/CD basics – automatic app rebuilds when pushing to repo.
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+ Containerization awareness – understanding how HF Spaces run your app in a container.
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+ πŸ“Š Software Engineering Practices
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+ Testing & validation – making sure inference works across devices.
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+ Error handling – handling missing CUDA, API errors, busy servers.
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+ Performance benchmarking – checking image generation speed vs settings.
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+ Scalability awareness – how this app could scale from 1 to 1M users.
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+ Documentation & communication – writing clear README, comments, and usage guides.
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+ πŸ§‘β€πŸ’» Programming & Software Skills
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+ Using external libraries (pip/requirements) – managing dependencies like torch, diffusers, gradio.
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+ Debugging Python code – fixing errors (e.g., wrong gr.Text vs gr.Textbox).
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+ Version control (Git/GitHub) – managing source code and pushing to repos.
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+ Software architecture design – structuring functions (infer, UI) cleanly.
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+ Object-oriented programming basics – understanding pipelines and classes.
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference