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:
- 16fc25600d81dfa9d25bf31219bce5c5e89a7461748376a5e8f3c936ad2ae277
- Size of remote file:
- 14.6 GB
- SHA256:
- 72a1e7656d9eeb79a4d409c40ce95179a179a32e5e6282b30c13f5afe7fa7d5e
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