Instructions to use nroggendorff/zelda-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nroggendorff/zelda-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nroggendorff/zelda-diffusion", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 61653f3a24d25be5525c48f874e4b9e95b59710a5eeab8ae953ccb13d4d24c1d
- Size of remote file:
- 22.3 MB
- SHA256:
- 1fb5a7a608d2872146e29b3492d152f3ff00f8762295be6bebd70bcbfd8134c3
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