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: 543 Bytes
7b702e3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | import type {ComfyApp, IStringWidget, IComboWidget, IWidget, LGraphNode} from "@comfyorg/frontend";
type ComfyWidgetFn<WidgetType extends IWidget> = (
node: LGraphNode,
inputName: string,
inputData: any,
app: ComfyApp,
) => {widget: WidgetType};
/**
* A dummy ComfyWidgets that we can import from our code, which we'll rewrite later to the comfyui
* hosted widgets.js
*/
export declare const ComfyWidgets: {
COMBO: ComfyWidgetFn<IComboWidget>;
STRING: ComfyWidgetFn<IStringWidget>;
[key: string]: ComfyWidgetFn<IWidget>;
};
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