Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/rundiffusion-fx-photoreal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/rundiffusion-fx-photoreal 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/rundiffusion-fx-photoreal", 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/rundiffusion-fx-photoreal: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/stablediffusionapi/rundiffusion-fx-photoreal/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/rundiffusion-fx-photoreal/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/rundiffusion-fx-photoreal/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- ecaeafc4a9a2a8ded33bc2227db88f8d9ac4c4a729d7af606610ca27736adbf3
- Size of remote file:
- 246 MB
- SHA256:
- c2a48b8bd63d91e481d88ed8af9081b87689e2be0dc32bdc7dc7566f35b1eeed
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