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:
- 603f8a834d30d75aaa5f9edbf5496288a4fd48fb939ec5bcef2ea33b3636e004
- Size of remote file:
- 3.69 GB
- SHA256:
- 2999562fbc02f9dc0d9c0acb7cf0970ec3a9b2a578d7d05afe82191d606d2d80
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