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
- Draw Things
- DiffusionBee
- Xet hash:
- 41efb779ad52a5c3a713f4ca1253aa54a4e35da4c99028c1fad1f8d1851cd1cd
- Size of remote file:
- 2.13 GB
- SHA256:
- 629ddef95988fd88760808067c8b92625061937e153ab8eff99c933c1516f5d8
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