Instructions to use 17939225/feature_extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 17939225/feature_extractor with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("17939225/feature_extractor", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download v1-variants-scores.jpg from 17939225/feature_extractor: direct link, hf CLI and curl.
- Browser
- Download file 71.2 kB
-
https://huggingface.co/17939225/feature_extractor/resolve/de8978098b437489f74a62cc59fdd118ad6c7d9d/v1-variants-scores.jpg
- Command line
-
hf download hf://17939225/feature_extractor@de8978098b437489f74a62cc59fdd118ad6c7d9d/v1-variants-scores.jpg
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curl -L -o v1-variants-scores.jpg https://huggingface.co/17939225/feature_extractor/resolve/de8978098b437489f74a62cc59fdd118ad6c7d9d/v1-variants-scores.jpg
71.2 kB
