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:
- b60892ea948608ef2a37cc286c790e05c5ae3f0edd237b7a954ed500d2a21fad
- Size of remote file:
- 42.9 GB
- SHA256:
- d9d98cb2c99cedada9137ce1e0b94e6f8bdb32bd2c4dbb6fb7a3459e90e9ab01
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