Instructions to use philz1337x/icbinp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use philz1337x/icbinp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("philz1337x/icbinp", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 02dee421e152912cc834e3cd5b7a7044eac8141718050afcc0a8d9aa3427d990
- Size of remote file:
- 492 MB
- SHA256:
- 22cd3d20409a45fbd1aa9d8eba357760e25578b248435952769dfc8571f8ad1a
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