Instructions to use hngan/env_diffusers_x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hngan/env_diffusers_x with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hngan/env_diffusers_x", 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
- Xet hash:
- 90cd454e58abbcc474ed3e54cbc397e0daa553679b81ac39d0f2e4a0ebe9e5a1
- Size of remote file:
- 17.2 GB
- SHA256:
- 9acc8f52dacb9ae22e97b7b57950a04dec44a453ee69f7faafab37c41806716e
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