Instructions to use Archfiend/ardic-ai-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Archfiend/ardic-ai-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Archfiend/ardic-ai-1", 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 Archfiend/ardic-ai-1: direct link, hf CLI and curl.
- Browser
- Download file 681 MB
-
https://huggingface.co/Archfiend/ardic-ai-1/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Archfiend/ardic-ai-1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Archfiend/ardic-ai-1/resolve/main/text_encoder/pytorch_model.bin
681 MB
- Xet hash:
- 043819a904e8b58782083f36294c96116215fbc8e32c0f19b6f2984cf4b559ae
- Size of remote file:
- 681 MB
- SHA256:
- 765cac086875644c1663601d6cfd6c42da908b1db7318f114e796e12eb5158e8
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