Instructions to use eramth/ip-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eramth/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("eramth/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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 901d2f31429feb0049a11b7ff968025f051292441d855e04196fae618dc04053
- Size of remote file:
- 98.2 MB
- SHA256:
- aa09c22b49ef63474dcde12f26a35b8b8e9b755b716a553aa29e8dbe8d21e0c9
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