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
- Draw Things
- DiffusionBee
Commit History
Add an updated version of IP-Adapter-Face 92a2d51
aihu20 commited on
add ip-adapter_sd15_vit-G 3cf3eb8
aihu20 commited on
support safetensors 9bf28b3
aihu20 commited on
add the light version of ip-adapter (more compatible with text even scale=1.0) 94e28ff
aihu20 commited on
Rename models/ip-adapter_sdxl_vit-h.bin to sdxl_models/ip-adapter_sdxl_vit-h.bin (#2) 5c2eae7
add ip-adapter_sdxl_vit-h 55964dc
aihu20 commited on
add ip-adapter for face b812dc3
aihu20 commited on
add ip-adapter-plus e5ae368
aihu20 commited on
add models 8bc5c62
aihu20 commited on