Instructions to use zeyuren2002/EvalMDE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zeyuren2002/EvalMDE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zeyuren2002/EvalMDE", 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
File size: 929 Bytes
d547008 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | import os.path as osp
from setuptools import setup, find_packages
ROOT = osp.dirname(osp.abspath(__file__))
setup(
name='evalmde',
packages=find_packages(),
install_requires=[
"numpy==2.0.0",
"opencv-python==4.12.0.88",
"open3d==0.19.0",
"pyglet==1.5.28",
"imageio==2.33.1",
"hydra-core==1.3.0",
"pyrender==0.1.45",
"evo==1.26.0",
"loguru==0.7.2",
"shortuuid==1.0.13",
"DateTime==5.5",
"plyfile==1.1",
"HTML4Vision==0.4.3",
"timm==1.0.9",
"imgaug==0.4.0",
"iopath==0.1.10",
"imagecorruptions==1.1.2",
"gitpython==3.1.44",
"pomegranate==1.1.1",
"matplotlib==3.9.0",
"wandb==0.22.2",
"cvxpy==1.6.5",
"mathutils==3.3.0",
"OpenEXR==3.3.3",
"Imath==0.0.2",
"pywavelets==1.8.0",
"h5py==3.14.0",
],
)
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