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:
- d0d18b0b553f27befbe43921825e30a0c8f7f5d959ce33c2a636ceee995aaba6
- Size of remote file:
- 12.7 GB
- SHA256:
- 86efa40b9595d9ade67ad0c3acd3a769b79d0a1c4105a70447f49688642f60b4
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