Instructions to use mhnakif/comfy2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mhnakif/comfy2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mhnakif/comfy2", 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: 432 Bytes
2795df7 | 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 | # This file only exists for backwards compatibility.
from comfy_api.latest._input import (
ImageInput,
AudioInput,
MaskInput,
LatentInput,
VideoInput,
CurvePoint,
CurveInput,
MonotoneCubicCurve,
LinearCurve,
)
__all__ = [
"ImageInput",
"AudioInput",
"MaskInput",
"LatentInput",
"VideoInput",
"CurvePoint",
"CurveInput",
"MonotoneCubicCurve",
"LinearCurve",
]
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