Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/edge-of-realism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/edge-of-realism 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/edge-of-realism", 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 text_encoder/pytorch_model.bin from stablediffusionapi/edge-of-realism: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/stablediffusionapi/edge-of-realism/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/edge-of-realism/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/edge-of-realism/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- f7cad41d59bc14ba9f407c65075b8b9dd48bb4f307504cbf6bc23c7ca99b8214
- Size of remote file:
- 492 MB
- SHA256:
- d619ec6789be079ae9dc3a0c21518d691021e5bf4a3c926a59ff06d848d140e7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.