Instructions to use OpenTrouter/Trouter-Imagine-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OpenTrouter/Trouter-Imagine-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OpenTrouter/Trouter-Imagine-1", 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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README.md
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library_name: diffusers
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---
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# OpenTrouter/Trouter-Imagine-1
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## Model Description
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library_name: diffusers
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---
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---
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license: apache-2.0
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tags:
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- text-to-image
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- image-generation
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- diffusion
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- stable-diffusion
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- ai-art
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- generative-ai
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pipeline_tag: text-to-image
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language:
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- en
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library_name: diffusers
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---
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<div align="center">
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# 🎨 Trouter-Imagine-1
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### *Transform Your Words Into Stunning Visual Art*
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[](https://opensource.org/licenses/Apache-2.0)
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[]()
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[](https://www.python.org/)
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[](https://huggingface.co/)
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**High-quality text-to-image generation powered by advanced diffusion models**
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[🚀 Quick Start](#how-to-use) • [📚 Documentation](#model-description) • [💡 Examples](#example-prompts) • [🎯 Features](#key-features)
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---
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</div>
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# OpenTrouter/Trouter-Imagine-1
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## Model Description
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