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
- Draw Things
- DiffusionBee
- Xet hash:
- 5157a8a7420dc2904127a6bf457439dec9f7394fab821a87dbe6c8f020a5f80e
- Size of remote file:
- 335 MB
- SHA256:
- cbecf24b49e09799101cfb5916b11a5eb65d4e7eb0efe61fbdf07ea54af471af
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