Instructions to use ckpt/stable-diffusion-3-medium-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ckpt/stable-diffusion-3-medium-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("ckpt/stable-diffusion-3-medium-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 vae/diffusion_pytorch_model.safetensors from ckpt/stable-diffusion-3-medium-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/ckpt/stable-diffusion-3-medium-diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://ckpt/stable-diffusion-3-medium-diffusers/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/ckpt/stable-diffusion-3-medium-diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
168 MB
- Xet hash:
- 00476680ca622f9b8892be4fdc7d2173cf58f3d822eed9221fc9786fce695195
- Size of remote file:
- 168 MB
- SHA256:
- f9b67a279283625caee39d61eacb5324243848477b4eb535355eaaa8423d4e09
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