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:
- 2571584f45ea503dd0c3e04161e1a8a4cfb11cb6722bfc653c3cad4d3f196d69
- Size of remote file:
- 44.6 MB
- SHA256:
- 350b63a57847c163e2e984b01090f85ffe60eaae20f32b2b2c9e1ccc7ddd972b
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