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
Commit History
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support safetensors
aihu209bf28b3
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add experimental version of ip-adapter-face for sdxl
aihu20336d6b3
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add new
aihu209fa34f0
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Rename models/ip-adapter_sdxl_vit-h.bin to sdxl_models/ip-adapter_sdxl_vit-h.bin (#2)
- Rename models/ip-adapter_sdxl_vit-h.bin to sdxl_models/ip-adapter_sdxl_vit-h.bin (57749c62647d41160e0d7527a42daea7129cbc21) Co-authored-by: Benjamin Paine <benjamin-paine@users.noreply.huggingface.co>5c2eae7
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (6a8bd200742f21dd6e66f4cf3d7605e45ede671e) Co-authored-by: Muhammad Reza Syahputra Antoni <revzacool@users.noreply.huggingface.co>0859e80
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add ip-adapter for sdxl
aihu20c8a452f