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:
- 8923f419e1f1e9c1c78f6176a95ebba6b7374946d8637d3eca5942e42a0322a7
- Size of remote file:
- 2.13 GB
- SHA256:
- 2182245415908822cbac065128a4c5144cc547d0701feb21241cb4e70bb5cf56
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