Instructions to use EarthnDusk/NegativeEmbed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EarthnDusk/NegativeEmbed with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("EarthnDusk/NegativeEmbed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d799e5475c007edce761bb90b15662434792d4810c5494a9a575b3ab2d9d8356
- Size of remote file:
- 13.2 kB
- SHA256:
- 1f1703a5eb25218f80cc05295d46ad3748c884537568bca9c09982ac09762fda
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