Instructions to use stablediffusionapi/photon-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/photon-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("stablediffusionapi/photon-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.bin from stablediffusionapi/photon-v1: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/stablediffusionapi/photon-v1/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/photon-v1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/photon-v1/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- bf7d4d844e76432e12f17c12587079813f99b2bbdaa6cf37bbfdc4bdd8f37ae0
- Size of remote file:
- 167 MB
- SHA256:
- fafb4ff084a09773013a478af2640e6a10c0e9cda01b1b87634aaa5a7710e34b
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