Instructions to use stablediffusionapi/dokuki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/dokuki 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/dokuki", 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/dokuki: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/stablediffusionapi/dokuki/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/dokuki/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/dokuki/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 04339f4cbc2983b5ac494c32e124d239096f37f691d689a0a8a6a496ea2c5cfa
- Size of remote file:
- 246 MB
- SHA256:
- 3da876ec7ba4a00e491e44b7c703bd49b7e8847424493f6c05aa9e5e6086d598
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