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 text_encoder/model.safetensors from DiffusersVersionsOfModels/auraflow-v0.3: direct link, hf CLI and curl.
- Browser
- Download file 4.89 GB
-
https://huggingface.co/DiffusersVersionsOfModels/auraflow-v0.3/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://DiffusersVersionsOfModels/auraflow-v0.3/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/DiffusersVersionsOfModels/auraflow-v0.3/resolve/main/text_encoder/model.safetensors
4.89 GB
- Xet hash:
- 8a862b68df71af8909f0d817820e676623d8a51af29d35dec4d8741ac648dfc7
- Size of remote file:
- 4.89 GB
- SHA256:
- 0a07449cf1141c0ec86e653c00465f6f0d79c6e58a2c60c8bcf4203d0e4ec4f6
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