Instructions to use DiffusersVersionsOfModels/auraflow-v0.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DiffusersVersionsOfModels/auraflow-v0.3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DiffusersVersionsOfModels/auraflow-v0.3", 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/tokenizer.model from DiffusersVersionsOfModels/auraflow-v0.3: direct link, hf CLI and curl.
- Browser
- Download file 500 kB
-
https://huggingface.co/DiffusersVersionsOfModels/auraflow-v0.3/resolve/main/tokenizer/tokenizer.model
- Command line
-
hf download hf://DiffusersVersionsOfModels/auraflow-v0.3/tokenizer/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/DiffusersVersionsOfModels/auraflow-v0.3/resolve/main/tokenizer/tokenizer.model
500 kB
- Xet hash:
- 91bf184ab12793d0754344f9095332759432e666320cc6c07f637af50e36db6f
- Size of remote file:
- 500 kB
- SHA256:
- 9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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