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:
- 49dec6a77cc0d0ec9a7882bfeffd44dada0e64a348103c88b7281e6e9edb9823
- Size of remote file:
- 335 MB
- SHA256:
- a2b5134f4dbc140d9c11f11cba3233099e00af40f262f136c691fb7d38d2194c
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