Instructions to use stablediffusionapi/architectureinteriorsdlif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/architectureinteriorsdlif 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/architectureinteriorsdlif", 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/architectureinteriorsdlif: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/stablediffusionapi/architectureinteriorsdlif/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/architectureinteriorsdlif/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/architectureinteriorsdlif/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 077e6c2071eae68a750c7eb1ba470bcfb61f93ad228bd1881b01fcc7292d5e9f
- Size of remote file:
- 246 MB
- SHA256:
- fa89f25e16a1a4cc40c196c5ce734a929d54263d9a89aa95e254a10836247169
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