license: apache-2.0
base_model: unsloth/Qwen3.5-2B
tags:
- ascii
- vision
- art
- unsloth
- image-to-text
datasets:
- PinkPixel/ASCII-Art
pipeline_tag: image-to-text
library_name: transformers
✨ ASCII Machine ✨
ASCII Art Generation Model
NOTE: This is the first version of this model and it may not always generate perfect ASCII art. Fine tuning is still in progress and there will be updated versions coming soon.
🚀 Model Overview
ASCII Machine is a specialized vision-language model designed for high-quality ASCII art generation and interpretation. Based on the Qwen3.5-2B architecture, it has been fine-tuned to excel at transforming visual concepts into intricate text-based masterpieces.
- Model Name: PinkPixel/ASCII-Machine
- Base Model: Qwen3.5-2B
- Training Platform: Unsloth Studio
- Specialization: ASCII Art Generation & Vision-to-ASCII tasks
🎨 Dataset
This model was trained on the PinkPixel/ASCII-Art dataset, a curated collection of thousands of diverse ASCII artworks across various styles and subjects.
💬 Example Usage
User:
Can you create a small ASCII art of a cat?
ASCII Machine:
^__^
(oo)\_______
(__)\ )\/\
||----w |
|| ||
(Note: Actual output quality may vary based on prompt complexity and artistic style requested)
👁️ Vision Capabilities
As a vision-enabled model, ASCII Machine can "see" images and describe them or convert them directly into ASCII representations. Please note that this uses a cutting-edge architecture; while the full safetensors version supports vision natively in compatible environments, third-party support in tools like llama.cpp or LM Studio may still be in development.
🛠️ Installation & Usage
You can use this model directly with the Hugging Face transformers library:
from transformers import AutoProcessor, AutoModelForVision2Seq
model_id = "PinkPixel/ASCII-Machine"
processor = AutoProcessor.from_pretrained(model_id)
model = AutoModelForVision2Seq.from_pretrained(model_id)
"Dream it, Pixel it"