Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/PotoPhotoRealism_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/PotoPhotoRealism_v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/PotoPhotoRealism_v1", 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 vae/diffusion_pytorch_model.fp16.bin from digiplay/PotoPhotoRealism_v1: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/digiplay/PotoPhotoRealism_v1/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://digiplay/PotoPhotoRealism_v1@refs/pr/1/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/digiplay/PotoPhotoRealism_v1/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- 2ef1a872d26866d31766990289ce3d6d16fae13b59f88f492b71d43ec49fa3a6
- Size of remote file:
- 167 MB
- SHA256:
- 50f8a8ebcc93b193c131d6fb9ab907953c35fb5ec209c4b1bba56392693d5555
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