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:
- 42a3b20be52142f0751c7ddd309f1ee8fe8dd72dcf5cfcb42221d60e911af1dc
- Size of remote file:
- 699 MB
- SHA256:
- 9336f59641d05fc7a1e9b0ae3e4e9c6c799e9a2d8b83548e6aecb0b23fcf2d1b
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