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:
- ad0bb5495ca140ce496a03df39d37dba07e1a0a5492b4b53a0234efa7f04088d
- Size of remote file:
- 167 MB
- SHA256:
- b8965865d0d178022173b6dbce88ff51aaf5a363f6ba3a2129265aa4d395698d
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