Text-to-Image
Diffusers
Safetensors
QwenImagePipeline
sdnq
qwen_image
4-bit precision
8-bit precision
Instructions to use Disty0/Qwen-Image-Lightning-SDNQ-uint4-svd-r32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/Qwen-Image-Lightning-SDNQ-uint4-svd-r32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/Qwen-Image-Lightning-SDNQ-uint4-svd-r32", 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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base_model:
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- vladmandic/Qwen-Lightning
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base_model_relation: quantized
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library_name:
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tags:
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- sdnq
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- qwen_image
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base_model:
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- vladmandic/Qwen-Lightning
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base_model_relation: quantized
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library_name: diffusers
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tags:
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- sdnq
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- qwen_image
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