Text-to-Image
Diffusers
Safetensors
LensPipeline
lens
sdnq
uint4
static-quantization
ablation
model-cpu-offload
Instructions to use WaveCut/Lens-SDNQ-uint4-static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/Lens-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-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
File size: 171 Bytes
9a16379 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"bos_token_id": 199998,
"do_sample": true,
"eos_token_id": [
200002,
199999,
200012
],
"pad_token_id": 199999,
"transformers_version": "5.8.0"
}
|