Spaces:
Sleeping
Sleeping
| 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 |