Instructions to use geyongtao/NormalFM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use geyongtao/NormalFM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("geyongtao/NormalFM", torch_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
| { | |
| "_class_name": "NormalVAEWrapper", | |
| "_diffusers_version": "0.27.2", | |
| "revision": null, | |
| "scaling_factor": 0.18215, | |
| "subfolder": "vae", | |
| "vae_path": "./data/weights/sd21_marigold/" | |
| } | |