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
- Xet hash:
- f048af366dc2c9dfeb71ea49d8b43f1bbe42caaaa8a5846bd758e6d87bcb429c
- Size of remote file:
- 4.28 MB
- SHA256:
- f04e25c6b15a3cea9973ec1e28f6dbff4bfefd8fd975046da39a1fd86333e13f
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