Instructions to use lambda/miniSD-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lambda/miniSD-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lambda/miniSD-diffusers", 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
Download unet/diffusion_pytorch_model.safetensors from lambda/miniSD-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/lambda/miniSD-diffusers/resolve/refs%2Fpr%2F2/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://lambda/miniSD-diffusers@refs/pr/2/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/lambda/miniSD-diffusers/resolve/refs%2Fpr%2F2/unet/diffusion_pytorch_model.safetensors
3.44 GB
- Xet hash:
- 98a38b128420576fce214497ee80ba682c61c412cad04feb36fa477f6f52d867
- Size of remote file:
- 3.44 GB
- SHA256:
- 60f146543891424dc742641becbd0c2c57fe05139a3e2bac5c71c68f86be16ed
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