Instructions to use flax/samdoesart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/samdoesart with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("flax/samdoesart", 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 tokenizer/vocab.json from flax/samdoesart: direct link, hf CLI and curl.
- Browser
- Download file 1.06 MB
-
https://huggingface.co/flax/samdoesart/resolve/refs%2Fpr%2F3/tokenizer/vocab.json
- Command line
-
hf download hf://flax/samdoesart@refs/pr/3/tokenizer/vocab.json
-
curl -L -o vocab.json https://huggingface.co/flax/samdoesart/resolve/refs%2Fpr%2F3/tokenizer/vocab.json
1.06 MB
File too large to display, you can check the raw version instead.