Instructions to use h94/IP-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use h94/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("h94/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:
- a699ecbe6d3a86edfe1cbb1d5eaca8b1c7bfa6f84f4363181bd1a4ee7df03861
- Size of remote file:
- 1.08 MB
- SHA256:
- 7900564dc4eebc59cc34a66fb7117256cd185f0d3eb952f1f254953ecd6b47d4
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