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:
- 7d526bf8c84ca27e3625b811eece1218335e09628bf5df8a8a245e76d91ca2de
- Size of remote file:
- 1.35 GB
- SHA256:
- 0e469e82d2c4501eeeb7bda833f84134c2573576bd4b33901842bf0e744ad9b3
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