Instructions to use retronic/Pixelship-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use retronic/Pixelship-2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("retronic/Pixelship-2.0") 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
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# Introducing Pixelship
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We present to you a diffusion transformer called Pixelship.
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## Model Details
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This is a fine tuned LoRA of Qwen Image 2.1 meant to create images from very detailed prompts.
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# Introducing Pixelship 🚀
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We present to you a diffusion transformer called Pixelship.
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## Model Details
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This is a fine tuned LoRA of Qwen Image 2.1 meant to create images from very detailed prompts.
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