Instructions to use stablediffusionapi/anything-inkbase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/anything-inkbase 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/anything-inkbase", 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.bin from stablediffusionapi/anything-inkbase: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/stablediffusionapi/anything-inkbase/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/anything-inkbase/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/anything-inkbase/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- 8be25d9d6b34853ec69c0db4a2d90f8f13c5be398a1df5c8b4e56e72e0f093a4
- Size of remote file:
- 167 MB
- SHA256:
- 6367c024aa16c10d009c4db844fb647a86ec85d764f8b31beb500e11f4a5c20b
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