Instructions to use YiYiXu/diff-diff-mellon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YiYiXu/diff-diff-mellon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YiYiXu/diff-diff-mellon", 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 logging | |
| from mellon.NodeBase import NodeBase | |
| # Configure logger | |
| logger = logging.getLogger("mellon") | |
| logger.setLevel(logging.DEBUG) | |
| # Initialize components manager | |
| # components = ComponentsManager() | |
| from custom import components | |
| class DiffDiffDenoise(NodeBase): | |
| def __init__(self, node_id=None): | |
| super().__init__(node_id) | |
| from diffusers.modular_pipelines.node_utils import ModularNode | |
| from diffusers.modular_pipelines import ModularPipelineMixin | |
| diffdiff = ModularPipelineMixin.from_pretrained("YiYiXu/modular-diffdiff", trust_remote_code=True) | |
| diffdiff.blocks.pop("text_encoder") | |
| diffdiff.blocks.pop("decode") | |
| diffdiff.blocks.pop("ip_adapter") | |
| self._diffdiff_block = ModularNode(diffdiff) | |
| self._diffdiff_block.setup(components=components) | |
| def execute(self, **kwargs): | |
| return self._diffdiff_block.execute(**kwargs) | |