Spaces:
Sleeping
A newer version of the Gradio SDK is available:
6.5.1
title: Texttoimage
emoji: 🖼
colorFrom: purple
colorTo: red
sdk: gradio
sdk_version: 5.25.2
app_file: app.py
pinned: false
license: mit
Skills Used to built this app:
🎨 AI/ML & Diffusion Model Skills
Understanding diffusion models – how Stable Diffusion works.
Using Hugging Face diffusers – loading and running pretrained pipelines.
GPU/CPU optimization – switching between cuda and cpu, choosing float16 vs float32.
Prompt engineering – crafting effective prompts for image generation.
Negative prompting – removing unwanted artifacts from images.
Random seed control – reproducibility in image generation.
Model parameter tuning – adjusting guidance_scale, num_inference_steps.
Memory optimization – handling large models (SDXL Turbo ~6GB).
🌐 Web App & UI Skills
Gradio UI design – creating blocks, rows, sliders, and image outputs.
Event handling in Gradio – binding run button, prompt submit, and examples.
Custom styling (CSS) – controlling layout (#col-container).
User experience (UX) design – hiding advanced settings but making them available.
Interactive demos – gr.Examples, progress tracking.
Frontend/backend linking – connecting UI inputs to model inference.
☁️ Deployment & DevOps Skills
Hugging Face Spaces deployment – running apps in free/shared GPU environments.
ZeroGPU understanding – optional GPU resource management.
Creating requirements.txt – ensuring dependencies install correctly.
Cloud CI/CD basics – automatic app rebuilds when pushing to repo.
Containerization awareness – understanding how HF Spaces run your app in a container.
📊 Software Engineering Practices
Testing & validation – making sure inference works across devices.
Error handling – handling missing CUDA, API errors, busy servers.
Performance benchmarking – checking image generation speed vs settings.
Scalability awareness – how this app could scale from 1 to 1M users.
Documentation & communication – writing clear README, comments, and usage guides.
🧑💻 Programming & Software Skills
Using external libraries (pip/requirements) – managing dependencies like torch, diffusers, gradio.
Debugging Python code – fixing errors (e.g., wrong gr.Text vs gr.Textbox).
Version control (Git/GitHub) – managing source code and pushing to repos.
Software architecture design – structuring functions (infer, UI) cleanly.
Object-oriented programming basics – understanding pipelines and classes.
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference