Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/double-exposure-phot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/double-exposure-phot with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/double-exposure-phot", 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 unet/diffusion_pytorch_model.bin from stablediffusionapi/double-exposure-phot: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/stablediffusionapi/double-exposure-phot/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/double-exposure-phot/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/double-exposure-phot/resolve/main/unet/diffusion_pytorch_model.bin
3.46 GB
- Xet hash:
- bfb153d93fba42493c48913d6240e2becaadd33c26bb4ddeab4a5046ee02070f
- Size of remote file:
- 3.46 GB
- SHA256:
- 166ffe2ddba5da9dca4f841bfd25813a73b46ed53672aa17f3ec9c251f979000
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