Instructions to use OAOA/DifFace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OAOA/DifFace with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OAOA/DifFace", 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
Zongsheng commited on
Commit ·
f6fa831
1
Parent(s): d1e53fd
DDPMPipeline->DifFacePipeline
Browse files- model_index.json +3 -3
model_index.json
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{
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"_class_name": "
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"_diffusers_version": "0.
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"scheduler": [
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"diffusers",
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"
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],
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"unet": [
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"diffusers",
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{
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"_class_name": "DifFacePipeline",
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"_diffusers_version": "0.13.0.dev0",
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"scheduler": [
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"diffusers",
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"ImprovedDDPMScheduler"
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],
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"unet": [
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"diffusers",
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