Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/realistic-stock-photo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/realistic-stock-photo 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/realistic-stock-photo", 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_2/pytorch_model.bin from stablediffusionapi/realistic-stock-photo: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/stablediffusionapi/realistic-stock-photo/resolve/main/text_encoder_2/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/realistic-stock-photo/text_encoder_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/realistic-stock-photo/resolve/main/text_encoder_2/pytorch_model.bin
1.39 GB
- Xet hash:
- aa45877e4d4261b25dcea85a5c5d9951fa94330635d5fc62e70ebd4c386d4f14
- Size of remote file:
- 1.39 GB
- SHA256:
- e3c6ed214c5e6530039136f16e48f99f8515dc5cd0c0660584d630fc839fd211
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