Instructions to use PrunaAI/Pruna-Q-Image-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PrunaAI/Pruna-Q-Image-2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PrunaAI/Pruna-Q-Image-2.1") 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
Commit History
28 days ago
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Update the quickstart
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Fix cloning issue
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29 days ago
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Update README.md
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Update README.md
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Add five-step PCM/CDM checkpoint 1000 and restore model card
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Replace adapters with eight-step v0.1 release
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Update README.md
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Correct BF16 timestep embedding in Diffusers example
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Pin tested Diffusers revision for exact sampler
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Use float32 Euler updates for exact five-step sampling
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Add Qwen Image 2.1 five-step LoRA adapter
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initial commit
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