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: 482 Bytes
2795df7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | class NetworkError(Exception):
"""Base exception for network-related errors with diagnostic information."""
class LocalNetworkError(NetworkError):
"""Exception raised when local network connectivity issues are detected."""
class ApiServerError(NetworkError):
"""Exception raised when the API server is unreachable but internet is working."""
class ProcessingInterrupted(Exception):
"""Operation was interrupted by user/runtime via processing_interrupted()."""
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