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 Settings
- Draw Things
- DiffusionBee
Download models/ip-adapter-plus_sd15.safetensors from h94/IP-Adapter: direct link, hf CLI and curl.
- Browser
- Download file 98.2 MB
-
https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-plus_sd15.safetensors
- Command line
-
hf download hf://h94/IP-Adapter/models/ip-adapter-plus_sd15.safetensors
-
curl -L -o ip-adapter-plus_sd15.safetensors https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-plus_sd15.safetensors
98.2 MB
- Xet hash:
- aadfe545dcd746c45806b41558d828b7b3fae0630bda79a815e396c5b9a5ade7
- Size of remote file:
- 98.2 MB
- SHA256:
- a1c250be40455cc61a43da1201ec3f1edaea71214865fb47f57927e06cbe4996
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