Instructions to use SidXXD/encoder_attack_4-eps-0039 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/encoder_attack_4-eps-0039 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/encoder_attack_4-eps-0039", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f7808a7429e9e3e24ba48a4b0760c2bfb4e5c0d958d8496154b3ccb59c044661
- Size of remote file:
- 102 MB
- SHA256:
- 43936b72bdb2c6d87f1ba67fecf0da93d5c8cf6968e228fe4287b23f16f68f08
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