Instructions to use EnD-Diffusers/HavocDisorderV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/HavocDisorderV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/HavocDisorderV2", 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
- Xet hash:
- 7d824f1f91720e917ea065a5f41bb087181ed2eb5e37916213003a00ec266ac0
- Size of remote file:
- 3.44 GB
- SHA256:
- c9c10a80261ec9565f5a0158709ab85d0c9abeed2940acd5aabf4e154b2189ee
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