Deploy Your Own AI Image Generator — Stable Diffusion + Gradio + Hugging Face Spaces (EP44)

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Издатель
EP43 explained how Stable Diffusion works — DDPM, U-Net, CFG, latent diffusion.
EP44 builds the app. By the end of this episode you will have a live, shareable
text-to-image web application deployed on Hugging Face Spaces — completely free.
Anyone with the link can open it, type a prompt, and generate images.

✅ Prompt engineering — how to write prompts that produce great results
✅ Negative prompts — what to steer away from, and how they affect quality
✅ Gradio basics — gr.Interface, gr.Blocks, components, event listeners
✅ Text-to-image tab — prompt, negative prompt, CFG slider, steps slider, seed
✅ img2img tab — upload a photo, strength slider, transform with a prompt
✅ Inpainting tab — draw a mask, fill region with a prompt
✅ Hugging Face Spaces — create a Space, push code, go live in minutes
✅ requirements.txt — pinning the right library versions for deployment
✅ GPU vs CPU Spaces — what to expect, how to request a free GPU

⏱ CHAPTERS:
0:00 From EP43 understanding to EP44 building
1:00 Prompt engineering — anatomy of a great prompt
2:10 Negative prompts — steering away from artefacts
3:15 Gradio crash course — Blocks, components, events
4:30 Text-to-image tab — full code walkthrough
6:00 img2img tab — upload + strength + prompt
7:30 Inpainting tab — mask drawing + fill
9:00 Full app assembly — tabs + shared pipeline
10:20 Hugging Face Spaces — create, push, deploy
11:45 Live demo — generate images in the deployed app
12:40 Recap + challenge
13:30 Outro → EP45 Tokenization & Embeddings

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