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
- Draw Things
- DiffusionBee

- Xet hash:
- fa0c334c634856c52d188a82ca2ddbcd6eb0e868cb73b4891ce1a6f7221ee887
- Size of remote file:
- 470 kB
- SHA256:
- ac74bd614fbfe82e0d90feb64e4af1b95d727b4e2da3aae7d0213257fe5dcfd6
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