Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/leosams-instant-phot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/leosams-instant-phot 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/leosams-instant-phot", 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/leosams-instant-phot: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/stablediffusionapi/leosams-instant-phot/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/leosams-instant-phot/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/leosams-instant-phot/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 78a11eaa41a6232ec580e1883b069a46e48fbe23c29387b9de3dfa82f879e8ef
- Size of remote file:
- 335 MB
- SHA256:
- 7442de476aa00d8b38e3906e63f49d36d0e0386d7ab66977f9538e4f2b4d68b4
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