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:
- 044e8f041eeb8798e9130768c35ca5cd5f3df36eaf80c5ff6ffb4b4b5c824ee4
- Size of remote file:
- 174 MB
- SHA256:
- eaa1760fa100d45e03890214f6a7ae6a47aea2a431665c29b28ad02fd9b99e90
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