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
| # 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", | |
| ] | |