Text-to-Image
Diffusers
Safetensors
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LensPipeline
LensPipeline
sdnq
quantized
uint4
static-quantization
ablation
Instructions to use WaveCut/Lens-Turbo-SDNQ-uint4-static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/Lens-Turbo-SDNQ-uint4-static with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/Lens-Turbo-SDNQ-uint4-static", 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
- Draw Things
- DiffusionBee
Deduplicate comparison grid in model card
Browse files
README.md
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## Visual comparison
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**Full-size comparison grid:** the image below is built from native 1024x1024 samples without resampling the image cells and saved as WebP quality 98. Raw file: [assets/comparison/comparison_grid_1to1_q98.webp](https://huggingface.co/WaveCut/Lens-Turbo-SDNQ-uint4-static/resolve/main/assets/comparison/comparison_grid_1to1_q98.webp).
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## Visual comparison
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**Full-size comparison grid:** the image below is built from native 1024x1024 samples without resampling the image cells and saved as WebP quality 98. Raw file: [assets/comparison/comparison_grid_1to1_q98.webp](https://huggingface.co/WaveCut/Lens-Turbo-SDNQ-uint4-static/resolve/main/assets/comparison/comparison_grid_1to1_q98.webp).
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