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
Download vae/diffusion_pytorch_model.fp16.bin from stablediffusiontutorials/stable-diffusion-v1.5: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/stablediffusiontutorials/stable-diffusion-v1.5/resolve/main/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://stablediffusiontutorials/stable-diffusion-v1.5/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/stablediffusiontutorials/stable-diffusion-v1.5/resolve/main/vae/diffusion_pytorch_model.fp16.bin
0 Bytes