Instructions to use HelpingAI/PixelGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelpingAI/PixelGen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HelpingAI/PixelGen", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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## PixelGen: Text-to-Image Generation Model
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### Overview
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PixelGen, developed by
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### Features
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- **Text-to-Image Generation**: PixelGen translates textual descriptions into visually appealing images.
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## PixelGen: Text-to-Image Generation Model
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### Overview
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PixelGen, developed by HelpingAI, is a Text-to-Image generation model. It enables the generation of high-quality images from textual descriptions, offering a versatile tool for various creative and practical applications.
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### Features
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- **Text-to-Image Generation**: PixelGen translates textual descriptions into visually appealing images.
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