Instructions to use etx/sd-longsky with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use etx/sd-longsky with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("etx/sd-longsky", 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:
- 46d292f9eeb93f989617ecd6050630c72c0402c92bb5249d6892a6099b9aa6f5
- Size of remote file:
- 3.44 GB
- SHA256:
- 465bf9d3a14e35dc50b0d0f3acc81b154a456c27a22571d9b44b83b520208078
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