Instructions to use stablediffusionapi/v3c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/v3c with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/v3c", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.fp16.safetensors from stablediffusionapi/v3c: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/stablediffusionapi/v3c/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://stablediffusionapi/v3c/vae/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/stablediffusionapi/v3c/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
167 MB
- Xet hash:
- b8757fdd145a3e7f63269515264657535e411633f9c60c644560f41034c39ad8
- Size of remote file:
- 167 MB
- SHA256:
- 68aff48de8e14c5eabf705ea6f2b89ae70516429877836fec45ddb0b5554aae8
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