d60/picwish
d60/picwish has 27 GitHub stars and 2 forks. GitHot measured 0 stars in 24 hours, 0 in 7 days, and 0 in 15 days. Last checked 2026-11-15 06:50 UTC. Last push 2025-07-06.
What you can do
- ✅ AI Text-to-Image Generation: Create images from text prompts with customizable themes, sizes, and quality.
- ✅ Image Enhancement: Improve image quality without watermark.
- ✅ Background Removal: Remove background from images.
- ✅ OCR (Optical Character Recognition): Extract text from images with support for multiple languages and various output formats.
Measured star growth
- in 24h
- 0
- in 7 days
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- in 15 days
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About
PicWish T2I, Photo Enhancer and Background Remover for Python
Creative & MediaREADME.md
OriginalPicWish API for Python 🎨✨
Enhance, generate, and process images without tokens, accounts, and watermarks, and enjoy unlimited usage!
Features
- ✅ AI Text-to-Image Generation: Create images from text prompts with customizable themes, sizes, and quality.
- ✅ Image Enhancement: Improve image quality without watermark.
- ✅ Background Removal: Remove background from images.
- ✅ OCR (Optical Character Recognition): Extract text from images with support for multiple languages and various output formats.
- ✅ Image Expansion: Expand images with AI.
Installation
To get started, install the picwish package using pip:
pip install picwish
Quick Examples 🚀
1. AI Text-to-Image Generation 🤖
Generate images based on a text prompt with customizable settings:
import asyncio
from picwish import PicWish, T2ITheme, T2IQuality, T2ISize
async def main():
picwish = PicWish()
# Generate images from text prompt
results = await picwish.text_to_image(
prompt='A girl',
theme=T2ITheme.ANIME,
size=T2ISize.FHD_1_1,
batch_size=4,
quality=T2IQuality.HIGH
)
for result in results:
await result.download(f'{result.id}.png')
asyncio.run(main())
2. Image Enhancement
Enhance the quality of an image without a watermark:
import asyncio
from picwish import PicWish
async def main():
picwish = PicWish()
# Enhance an image
enhanced_image = await picwish.enhance('/path/to/input.jpg')
await enhanced_image.download('enhanced_output.jpg')
asyncio.run(main())
3. Background Removal
Remove the background from an image:
import asyncio
from picwish import PicWish
async def main():
picwish = PicWish()
# Remove background from an image
background_removed_image = await picwish.remove_background('/path/to/input.jpg')
await background_removed_image.download('background_removed_output.png')
asyncio.run(main())
4. OCR (Optical Character Recognition)
Extract text from images with support for multiple languages and output formats:
import asyncio
from picwish import PicWish, OCRFormat
async def main():
picwish = PicWish()
ocr_result = await picwish.ocr(
'input.jpg',
format=OCRFormat.TXT
)
print(await ocr_result.text())
# -----------------
# Download as PNG
ocr_result = await picwish.ocr(
'input.jpg',
format=OCRFormat.PDF
)
print(await ocr_result.download('result.pdf'))
asyncio.run(main())
5. Image Expansion
import asyncio
from picwish import PicWish
async def main():
picwish = PicWish()
# Generate images from text prompt
results = await picwish.expand(
'input.jpg',
horizontal_expansion_ratio=1.5,
vertical_expansion_ratio=1.5
)
for i, result in enumerate(results):
await result.download(f'{i}.png')
asyncio.run(main())