Instructions to use IBRAHIM1990/IP-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IBRAHIM1990/IP-Adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("IBRAHIM1990/IP-Adapter", 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:
- 0068ea075a05cea5e3f2da9038a05464c0ebcd6524cd0ddba7b8f365f4c5ac0a
- Size of remote file:
- 44.6 MB
- SHA256:
- 68e1df30d760f280e578c302f1e73b37ea08654eff16a31153588047affe0058
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