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
aihu20 commited on
Commit ·
55964dc
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Parent(s): b812dc3
add ip-adapter_sdxl_vit-h
Browse files
models/ip-adapter_sdxl_vit-h.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b382e2501d0ab3fe2e09312e561a59cd3f21262aff25373700e0cd62c635929
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size 698390793
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