Instructions to use ksj1304/sdfwkei with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ksj1304/sdfwkei with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ksj1304/sdfwkei", 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:
- aa95fd3c1721631c29a65680c32e44886fd645f70099c0565e7e74b2bceb4ebb
- Size of remote file:
- 492 MB
- SHA256:
- db8b56d4fe09af697f8f16b7abc661335968ce04de5da78152b2fceb3e76b8c1
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