Instructions to use xkronosx/AutoEncoder-ffhq-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xkronosx/AutoEncoder-ffhq-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-ffhq-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
epoch 13 - step 500
Browse files- checkpoint.tar +1 -1
- diffusion_pytorch_model.safetensors +1 -1
- samples/sample_43860.png +2 -2
- samples/sample_43960.png +2 -2
- samples/sample_44060.png +2 -2
- samples/sample_44160.png +2 -2
- samples/sample_44260.png +2 -2
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