Instructions to use alkzar90/ddpo-over50-celebahq-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alkzar90/ddpo-over50-celebahq-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alkzar90/ddpo-over50-celebahq-256", 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
Update image
Browse files
README.md
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# Fine-tuning `ddpm-celebahq-256` with DDPO for increase faces of older people (i.e. OVER50 [`nateraw/vit-age-classifier`](https://huggingface.co/nateraw/vit-age-classifier))
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# Fine-tuning `ddpm-celebahq-256` with DDPO for increase faces of older people (i.e. OVER50 [`nateraw/vit-age-classifier`](https://huggingface.co/nateraw/vit-age-classifier))
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**DDPO Paper**: [Training Diffusion Models with Reinforcement Learning](https://arxiv.org/abs/2305.13301)
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