pipeline_tag: text-to-image library_name: diffusers license: apache-2.0 tags:

• pixel-art
• game-development
• aseprite
• pico-8
• sprites
• cli
• mlx
• windows
• cuda
• apple-silicon
• local

Bilta Gilata1

Local AI pixel art. Exact palettes. No credits. No cloud prompts.

Write a prompt. Pick one of 65 game palettes. Get a crisp PNG at an exact game-ready resolution.

The gallery is the proof

Every image below was generated through the Bilta CLI. No hand-picked stock art and no external image generator.

Ancient dragon	Medieval market	Fishing village
Knight versus fire	Motorbike	Steam locomotive
Forest knight	Brave knight	Animation study

Why Gilata1?

• Runs locally: prompts and reference images stay on your computer.
• Two native backends: MLX on Apple Silicon and PyTorch/CUDA on Windows.
• 65 bundled palettes: PICO-8, DawnBringer, AAP, Arne, NES, Game Boy, Commodore, VGA and more.
• Exact output sizes: 16, 32, 48, 64, 128 or 256 pixels.
• Reference guidance: provide a local PNG, JPG or WebP.
• Reproducible generations: keep the seed and recreate the composition.
• Bulk generation: load once and turn a prompt list into an asset folder.
• Offline after setup: install the model once and generate without a paid API.
• CLI and Python API: use it in a terminal, game pipeline, build script or application.

Install

Apple Silicon macOS

python3 -m pip install bilta-gilata1
bilta-gilata1 --download-model

Windows 10/11 + NVIDIA

py -m pip install "bilta-gilata1[windows]"
bilta-gilata1 --download-model

The Windows backend needs an NVIDIA CUDA GPU and a current driver. If PyTorch cannot see CUDA, select the correct Windows/Pip/CUDA command at pytorch.org.

Install from source

git clone https://github.com/Abd196-bit/bilta-gilata1.git
cd bilta-gilata1
chmod +x install.sh
./install.sh

On Windows, run install-windows.ps1 in PowerShell instead. Both installers fetch the model during setup so the machine is ready for offline generation afterward.

Create your first sprite

bilta-gilata1 "a tiny moon wizard riding a sleepy cloud" \
  --palette pico-8 \
  --size 64 \
  --seed 1337 \
  --output moon-wizard.png

The terminal stays clean while an ASCII character and live activity bar animate in place:

Generating image   [.........=>.............] (o_o) 00:27
Generating image   [========================] (^_^) 100%

Use a reference image

bilta-gilata1 "a forest adventurer" \
  --reference sketch.png \
  --palette db16 \
  --size 64 \
  --output adventurer.png

The reference guides composition and appearance; it is never uploaded to a paid API.

Generate a folder in bulk

Create prompts.txt with one asset per line:

a walking knight with a blue shield
a moon wizard holding a lantern
a cyberpunk fox merchant with neon potions
a steam locomotive crossing a frozen bridge

Run the batch:

bilta-gilata1 --bulk prompts.txt \
  --output-dir game-assets \
  --palette pico-8 \
  --size 64 \
  --seed 500

Gilata1 creates predictable names such as 001-a-walking-knight-with-a-blue-shield.png. Sequential seeds make the entire batch reproducible.

Python API

from bilta_gilata1 import generate

result = generate(
    "a tiny moon wizard",
    output="wizard.png",
    palette="pico-8",
    size=64,
    seed=1337,
    on_progress=print,
)

print(result.output)

GenerationResult includes the output path, master image path, seed, backend, palette and size.

Reuse one generator

from bilta_gilata1 import Gilata1

artist = Gilata1(palette="db16", size=64)
artist.generate("a walking knight", output="knight.png", on_progress=print)
artist.generate("a moon wizard", output="wizard.png", reference="sketch.png", on_progress=print)

The CUDA pipeline remains loaded between calls.

Bulk generation from Python

from bilta_gilata1 import generate_bulk

batch = generate_bulk(
    [
        "a walking knight",
        "a moon wizard",
        "a cyberpunk fox merchant",
    ],
    output_dir="game-assets",
    palette="pico-8",
    size=64,
    seed=500,
    continue_on_error=True,
    on_progress=print,
)

print(batch.outputs)
print(batch.failures)

Palette power

List every bundled palette:

bilta-gilata1 --list-palettes

Useful starting points:

From Python:

from bilta_gilata1 import list_palettes, palette_colors

print(list_palettes())
print(palette_colors("pico-8"))

Platform matrix

Set BILTA_GILATA_CACHE to keep model files on another disk or pen drive:

export BILTA_GILATA_CACHE="/path/to/large-drive/gilata-cache"

What gets installed?

The Python package contains Gilata1's CLI, API, palette engine, bulk workflow and model manager. Model weights are downloaded from their original repositories because they are several gigabytes and cannot fit inside a normal Python wheel. After that one-time download, generation is local.

License

Gilata1's original source code is licensed under Apache-2.0. Models, adapters and palette files keep their respective upstream licenses and attribution; see THIRD_PARTY_NOTICES.md.