Instructions to use takuoko/IP-Adapter-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use takuoko/IP-Adapter-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("takuoko/IP-Adapter-test", 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
Download image_projection/diffusion_pytorch_model.bin from takuoko/IP-Adapter-test: direct link, hf CLI and curl.
- Browser
- Download file 44.6 MB
-
https://huggingface.co/takuoko/IP-Adapter-test/resolve/main/image_projection/diffusion_pytorch_model.bin
- Command line
-
hf download hf://takuoko/IP-Adapter-test/image_projection/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/takuoko/IP-Adapter-test/resolve/main/image_projection/diffusion_pytorch_model.bin
44.6 MB
- Xet hash:
- 8dfcfb943f7ee39140dde9fb6f346f0a38757cfbca0ff1e7959092f709c4270e
- Size of remote file:
- 44.6 MB
- SHA256:
- 83a74062b118a89c7f19295aa14a275923ad005d307bf8672fcef2e56a9ab6c1
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