Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/NextPhoto_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/NextPhoto_v3 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/NextPhoto_v3", 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.bin from digiplay/NextPhoto_v3: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/digiplay/NextPhoto_v3/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://digiplay/NextPhoto_v3@refs/pr/1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/digiplay/NextPhoto_v3/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 4bb3b34e57f98a3df372bc7541d6a4b9212b73b36a53cf1ef9d51f002dc9eeab
- Size of remote file:
- 335 MB
- SHA256:
- 68cae75202cf03bb81cd052d7726725e5a69d87818109e3c5095aac21644c890
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