Text-to-Image
English
numpy
machine-learning
deep-learning
generative-ai
text-2-image
image-generation
open-weights
model-weights
ai-art
pixel-art
game-development
gamedev
game-assets
asset-generator
sprite-generator
offline
tiny-model
numpy-runtime
int8-quantization
self-supervised
procedural-data
gpt
english-prompts
awesome-ai
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# 🎨 PXG-Tiny — 5-Minute Tutorial
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Turn plain English into 16×16 pixel-art sprites, fully offline.
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*By Chowdhury Tarul Ahsan — tarulahsan@gmail.com*
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---
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## 1. Install (30 seconds)
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```bash
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# Python 3.9+ — only two libraries, no torch, no GPU
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pip install numpy pillow
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```
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Unzip the release anywhere. You get this layout:
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```
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pxg-tiny/
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├── cli.py ← command-line app
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├── weights/ ← the trained model (~1 MB)
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├── src/pxg_tiny/ ← inference library (pure NumPy)
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├── samples/gallery/ ← sprites made by the final model
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└── tests/ ← pytest suite
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```
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## 2. Your first sprite (10 seconds)
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```bash
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python3 cli.py "a golden sword, glowing" -o sword.png
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```
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Done — `sword.png` is a crisp 128×128 sprite (16×16 pixels at 8× zoom,
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transparent background).
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## 3. What can I ask for?
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**Objects (23 families):** sword · dagger · shield · staff · potion · vial ·
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chest · coin · gem · key · apple · bread · oak tree · pine tree · bush ·
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rock · grass/stone/water tile · fireball · house
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**Attributes that actually change pixels:**
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| Say | Effect |
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|---|---|
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| `golden / iron / crystal / ruby / emerald / wooden / copper` | recolors the material |
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| `upright` / `lying sideways` | rotates key/key/sword orientation |
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| `glowing` | adds white specular shine |
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| `with moss` / `with berries` / `autumn` | adds the detail |
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| `big` / `small` | scales fireballs |
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| `slate roof` / `terracotta roof` | house roof color |
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Free phrasing is fine — *“one sword of the crystal kind”*, *“a sword made of
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pure iron”*, *“cottage with terracotta roof”* all work.
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## 4. Variations & sprite sheets
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```bash
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python3 cli.py "an iron chest" --variations 4 --sheet variants.png
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```
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One PNG containing 4 sampled takes on your prompt — perfect for picking a
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favorite or filling a tileset row.
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## 5. Ask-first mode (chatbot style)
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```bash
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python3 cli.py --ask "can you animate a walking cycle?"
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# → refusal: "i only make 16x16 pixel-art sprites ... no photos, 3d,
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# animation files, logos or other resolutions."
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python3 cli.py --ask "draw a blorp"
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# → clarify: "i don't know that object yet. i can draw: sword, dagger, ..."
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```
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The model knows what it doesn't know — it asks instead of hallucinating.
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## 6. Python API
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```python
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from pxg_tiny.pipeline import PXGPipeline
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pipe = PXGPipeline() # loads ./weights
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grid, meta = pipe.generate_pixels("a ruby potion that glows", seed=7)
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print(meta) # {'gate': 'accept', 'attempt': 0, ...}
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# raw 16x16 palette-index grid if you want the pixels yourself:
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# grid[y][x] == 0 → transparent, 1..31 → palette color
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msg = PXGPipeline.ask("a 4k photo of a cat") # → refusal message string
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```
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Deterministic: same prompt + same seed ⇒ same sprite, forever, on any machine.
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## 7. Batch generation
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```bash
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cat prompts.txt
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# golden dagger, upright
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# slim vial of the slime kind
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python3 cli.py --sheet-from-prompts prompts.txt --outdir sprites/
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```
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## 8. Troubleshooting
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| Symptom | Meaning | Fix |
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|---|---|---|
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| `"gate": "clarify"` | object/attribute unknown | pick from the list it gives you |
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| `"gate": "refuse"` | out of scope (3D/photo/animation/other sizes) | rephrase as a 16×16 sprite |
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| `"gate": "accept_degraded"` | sprite returned but a check stayed red after 8 tries | usually still usable; try another seed |
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| wrong material color | rare sampling drift | retry, or bump `--seed` |
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*Everything runs 100% locally — no network, no accounts, no API keys.*
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