Instructions to use stablediffusionapi/icbinp-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/icbinp-v2 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/icbinp-v2", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 38f2ccc6ef4e90facfe1ba4a14168f6c3b35ce5585c99cb1a600d4ba38bda908
- Size of remote file:
- 246 MB
- SHA256:
- 375e1b6e5b0e00540ded559f86decf2373855c7bcdddf85ddaf0ac23a955cf08
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