Instructions to use Z3R069/sick with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Z3R069/sick with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Z3R069/sick", 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:
- c5418a977589cc5bda0726f7843ae614a4c60c685cf6f7c0b9492f151d62a47d
- Size of remote file:
- 246 MB
- SHA256:
- 3f7f3360a0904ab7709784f23a998bbfb574a50a30c758954baaafb46197a144
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