Instructions to use krnl/stable-diffusion-v15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krnl/stable-diffusion-v15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krnl/stable-diffusion-v15", 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:
- 40dc6f059e7caa7e5934d1695d2edafaf9b6fd2f7e732015e91defd36cde5223
- Size of remote file:
- 492 MB
- SHA256:
- d008943c017f0092921106440254dbbe00b6a285f7883ec8ba160c3faad88334
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