Instructions to use stablediffusionapi/bdicon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/bdicon 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/bdicon", 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/bdicon: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/stablediffusionapi/bdicon/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://stablediffusionapi/bdicon/vae/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/stablediffusionapi/bdicon/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
167 MB
- Xet hash:
- 239b6c46732f8d587cec0aaac444c83b078592de0b03a500e649f07380e6fecf
- Size of remote file:
- 167 MB
- SHA256:
- 1796109ee53daa7600a0032d7fffe808a0db784c5ea0ae6a4936d78096b79284
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