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
| """${message} | |
| Revision ID: ${up_revision} | |
| Revises: ${down_revision | comma,n} | |
| Create Date: ${create_date} | |
| """ | |
| from typing import Sequence, Union | |
| from alembic import op | |
| import sqlalchemy as sa | |
| ${imports if imports else ""} | |
| # revision identifiers, used by Alembic. | |
| revision: str = ${repr(up_revision)} | |
| down_revision: Union[str, None] = ${repr(down_revision)} | |
| branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)} | |
| depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)} | |
| def upgrade() -> None: | |
| """Upgrade schema.""" | |
| ${upgrades if upgrades else "pass"} | |
| def downgrade() -> None: | |
| """Downgrade schema.""" | |
| ${downgrades if downgrades else "pass"} | |