Instructions to use SunderAli17/SAK-IP-Adapter-FaceTransform-Plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SunderAli17/SAK-IP-Adapter-FaceTransform-Plus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SunderAli17/SAK-IP-Adapter-FaceTransform-Plus", 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
Upload tf_model.h5
Browse files
clip-vit-large-patch14-336/tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:d12828ca8f0f3c92194f277b7d893da7f2fb7824d0b99dedb305eb48eb46bb7f
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size 1712454232
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