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
Download models/ip-adapter_sd15_vit-G.bin from eramth/ip-adapter: direct link, hf CLI and curl.
- Browser
- Download file 46.2 MB
-
https://huggingface.co/eramth/ip-adapter/resolve/main/models/ip-adapter_sd15_vit-G.bin
- Command line
-
hf download hf://eramth/ip-adapter/models/ip-adapter_sd15_vit-G.bin
-
curl -L -o ip-adapter_sd15_vit-G.bin https://huggingface.co/eramth/ip-adapter/resolve/main/models/ip-adapter_sd15_vit-G.bin
46.2 MB
- Xet hash:
- ae1ab2dd7f4b4eac30b9dd99c86fb407dab076e6668220b220444cd8b56a2ec4
- Size of remote file:
- 46.2 MB
- SHA256:
- 1398e9ae37cb65553a8525871830a283914dafd9ec3039716344a826399ec474
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