Instructions to use bbbboiwow/cocccck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bbbboiwow/cocccck with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bbbboiwow/cocccck", 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: 382 Bytes
edb09f2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | class Int2String:
def __init__(self):
pass
@classmethod
def INPUT_TYPES(s):
return {
"required": {"Int": ("INT", {"forceInput": True})},
}
RETURN_TYPES = ("STRING",)
OUTPUT_NODE = False
FUNCTION = "int2string"
CATEGORY = "Chibi-Nodes/Text"
def int2string(self, Int):
return (str(Int),)
|