Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use CompVis/stable-diffusion-v1-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CompVis/stable-diffusion-v1-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.fp16.bin from CompVis/stable-diffusion-v1-4: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/CompVis/stable-diffusion-v1-4/resolve/main/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://CompVis/stable-diffusion-v1-4/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/CompVis/stable-diffusion-v1-4/resolve/main/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- 251fd8c82396af6858c4a288b7e7917bf9be7b47ff3ab8fe1b6f730a9063c3df
- Size of remote file:
- 167 MB
- SHA256:
- b7643b3e40b9f128eda5fe174fea73c3ef3903562651fb344a79439709c2e503
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