Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use stablediffusiontutorials/stable-diffusion-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusiontutorials/stable-diffusion-v1.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusiontutorials/stable-diffusion-v1.5", 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:
- 8867c8e03809f3de27f7311dfebbdb5f940f55bf644b44692dde63fcd4c5ea8e
- Size of remote file:
- 337 MB
- SHA256:
- 1bf5fb25270cfa3642bea72f6874f06a38d2475fbae1d944bbbead81b3187e1b
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