Instructions to use stablediffusionapi/architecturerealmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/architecturerealmix 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/architecturerealmix", 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/architecturerealmix: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/stablediffusionapi/architecturerealmix/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/architecturerealmix/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/architecturerealmix/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 5f7ece88241acee055bb9e2fbcb8737ff6efafce3c00b28ebec1cb5c9738cfa9
- Size of remote file:
- 246 MB
- SHA256:
- 34ef5d553b44172388520e7abaf236c9ffa67c7b8f25c89f69aef123ae8356bc
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