Instructions to use maedtb/zimage-f32-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maedtb/zimage-f32-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maedtb/zimage-f32-diffusers", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b47ef918bd80525df2745d8a8405ae6c9568bdd14ead0d6d9916c21645aa8f1d
- Size of remote file:
- 4.67 GB
- SHA256:
- 881fd7b9a6b21279b1895a0716303ec6ea2fb1821366fc4dd4c8992a7911a42c
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