Instructions to use xkronosx/AutoEncoder-CelebA-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xkronosx/AutoEncoder-CelebA-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("xkronosx/AutoEncoder-CelebA-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
| { | |
| "_class_name": "ResNetEncoderDecoder", | |
| "_diffusers_version": "0.27.2", | |
| "base_filters": 32, | |
| "in_channels": 3, | |
| "latent_channels": 3, | |
| "latent_size": [ | |
| 32, | |
| 32 | |
| ], | |
| "num_blocks": 4 | |
| } | |