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
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Download README.md from h94/IP-Adapter: direct link, hf CLI and curl.
- Browser
- Download file 216 Bytes
-
https://huggingface.co/h94/IP-Adapter/resolve/refs%2Fpr%2F1/README.md
- Command line
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hf download hf://h94/IP-Adapter@refs/pr/1/README.md
-
curl -L -o README.md https://huggingface.co/h94/IP-Adapter/resolve/refs%2Fpr%2F1/README.md
216 Bytes
metadata
tags:
- text-to-image
- stable-diffusion
license: apache-2.0
language:
- en
library_name: diffusers
IP-Adapter Model Card
The trained models for IP-Adapter.