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_light_v11.bin from eramth/ip-adapter: direct link, hf CLI and curl.
- Browser
- Download file 44.6 MB
-
https://huggingface.co/eramth/ip-adapter/resolve/main/models/ip-adapter_sd15_light_v11.bin
- Command line
-
hf download hf://eramth/ip-adapter/models/ip-adapter_sd15_light_v11.bin
-
curl -L -o ip-adapter_sd15_light_v11.bin https://huggingface.co/eramth/ip-adapter/resolve/main/models/ip-adapter_sd15_light_v11.bin
44.6 MB
- Xet hash:
- 275be83b8a3da2cabd8b2568abd0f86603ee8f72b56cc38257413160914cb285
- Size of remote file:
- 44.6 MB
- SHA256:
- 350b63a57847c163e2e984b01090f85ffe60eaae20f32b2b2c9e1ccc7ddd972b
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