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
| import folder_paths | |
| class LoadEmbedding: | |
| def __init__(self): | |
| pass | |
| def INPUT_TYPES(s): | |
| return { | |
| "required": { | |
| "text": ( | |
| "STRING", | |
| {"default": "", "multiline": False, "forceInput": True}, | |
| ), | |
| "embedding": [ | |
| sorted( | |
| folder_paths.get_filename_list("embeddings"), | |
| ) | |
| ], | |
| "weight": ( | |
| "FLOAT", | |
| {"default": 1.0, "min": -2, "max": 2, | |
| "step": 0.1, "round": 0.01}, | |
| ), | |
| }, | |
| } | |
| RETURN_TYPES = ( | |
| "STRING", | |
| ) | |
| RETURN_NAMES = ("text",) | |
| FUNCTION = "load_embedding" | |
| CATEGORY = "Chibi-Nodes" | |
| def load_embedding(self, text, embedding, weight): | |
| output = text + ", (embedding:" + embedding + ":" + str(weight) + ")" | |
| return (output,) | |