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ahmed doma

ahmeddoma
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reacted to seawolf2357's post with ๐Ÿš€ 20 days ago
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๐ŸŽจ Ghibli-Style Image Generation with Multilingual Text Integration: FLUX.1 Hugging Face Edition ๐ŸŒโœจ

Hello creators! Today I'm introducing a special image generator that combines the beautiful aesthetics of Studio Ghibli with multilingual text integration! ๐Ÿ˜

seawolf2357/Ghibli-Multilingual-Text-rendering

โœจ Key Features

Ghibli-Style Image Generation - High-quality animation-style images based on FLUX.1
Multilingual Text Rendering - Support for Korean, Japanese, English, and all languages! ๐Ÿ‡ฐ๐Ÿ‡ท๐Ÿ‡ฏ๐Ÿ‡ต๐Ÿ‡ฌ๐Ÿ‡ง
Automatic Image Editing with Simple Prompts - Just input your desired text and you're done!
Two Stylistic Variations Provided - Get two different results from a single prompt
Full Hugging Face Spaces Support - Deploy and share instantly!

๐Ÿš€ How Does It Work?

Enter a prompt describing your desired image (e.g., "a cat sitting by the window")
Input the text you want to add (any language works!)
Select the text position, size, and color
Two different versions are automatically generated!

๐Ÿ’ฏ Advantages of This Model

No Tedious Post-Editing Needed - Text is perfectly integrated during generation
Natural Text Integration - Text automatically adjusts to match the image style
Perfect Multilingual Support - Any language renders beautifully!
User-Friendly Interface - Easily adjust text size, position, and color
One-Click Hugging Face Deployment - Use immediately without complex setup

๐ŸŽญ Use Cases

Creating multilingual greeting cards
Animation-style social media content
Ghibli-inspired posters or banners
Character images with dialogue in various languages
Sharing with the community through Hugging Face Spaces

This project leverages Hugging Face's FLUX.1 model to open new possibilities for seamlessly integrating high-quality Ghibli-style images with multilingual text using just prompts! ๐ŸŒˆ
Try it now and create your own artistic masterpieces! ๐ŸŽจโœจ

#GhibliStyle #MultilingualSupport #AIImageGeneration #TextRendering #FLUX #HuggingFace
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replied to onekq's post 20 days ago
reacted to onekq's post with ๐Ÿ”ฅ 20 days ago
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I added OneSQL 3B to the model family, and its GGUF/AWQ/MLX quantizations. This model can fit into more places, and comfortably run on Apple M1 devices with twice the throughput (half the generation time) of its 7B sibling.

onekq-ai/onesql-v01-qwen-67d8e3eb1611c5532bb90c5f
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