Instructions to use apochromatic/ashitaka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use apochromatic/ashitaka with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("apochromatic/ashitaka", 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 apochromatic/ashitaka: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/apochromatic/ashitaka/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://apochromatic/ashitaka/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/apochromatic/ashitaka/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- 2147fa3d9cf3099db7450952f9778b2ad6b8d9a786f03efdd0a1ca444d7863cb
- Size of remote file:
- 1.36 GB
- SHA256:
- eeeb7cc64b98a375fda6180e1e311db08f0c7bf27993104baba149e30fd19924
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.