Text-to-Image
Diffusers
Safetensors
English
LensPipeline
smd
lens
diffusion-distillation
lora
few-step
image-generation
4-step
Instructions to use zjwfufu/SMD-Lens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zjwfufu/SMD-Lens with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zjwfufu/SMD-Lens") 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
Download base/examples/sample.png from zjwfufu/SMD-Lens: direct link, hf CLI and curl.
- Browser
- Download file 1.2 MB
-
https://huggingface.co/zjwfufu/SMD-Lens/resolve/main/base/examples/sample.png
- Command line
-
hf download hf://zjwfufu/SMD-Lens/base/examples/sample.png
-
curl -L -o sample.png https://huggingface.co/zjwfufu/SMD-Lens/resolve/main/base/examples/sample.png
1.2 MB

- Xet hash:
- 7639e502030ba0b485cd200e6fead4a38363ec2e1404a0241bfd18f70032a0aa
- Size of remote file:
- 1.2 MB
- SHA256:
- 3010d236582af570763608715e25e39feaf7ac14c6be659915886d9becd70b36
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