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:
- c6a0c94f72d45b45554d724caaf4da18bb2247b1ad3f8af9e0f60c515f1d98b0
- Size of remote file:
- 474 MB
- SHA256:
- 0a4a3c521bc5a44aea94d849697c978ec5e206469eb19567e61a03b528e42a16
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