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 sdxl_models/ip-adapter-plus_sdxl_vit-h.bin from h94/IP-Adapter: direct link, hf CLI and curl.
- Browser
- Download file 1.01 GB
-
https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus_sdxl_vit-h.bin
- Command line
-
hf download hf://h94/IP-Adapter/sdxl_models/ip-adapter-plus_sdxl_vit-h.bin
-
curl -L -o ip-adapter-plus_sdxl_vit-h.bin https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus_sdxl_vit-h.bin
1.01 GB
- Xet hash:
- d98361b0ee70f79e213599e0167439a1e312daa5e111e2127079d07184238b97
- Size of remote file:
- 1.01 GB
- SHA256:
- ec70edb7cc8e769c9388d94eeaea3e4526352c9fae793a608782d1d8951fde90
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