Instructions to use MonsterMMORPG/Wan_GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MonsterMMORPG/Wan_GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MonsterMMORPG/Wan_GGUF", 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
Download RMBG2/BiRefNet_config.py from MonsterMMORPG/Wan_GGUF: direct link, hf CLI and curl.
- Browser
- Download file 298 Bytes
-
https://huggingface.co/MonsterMMORPG/Wan_GGUF/resolve/main/RMBG2/BiRefNet_config.py
- Command line
-
hf download hf://MonsterMMORPG/Wan_GGUF/RMBG2/BiRefNet_config.py
-
curl -L -o BiRefNet_config.py https://huggingface.co/MonsterMMORPG/Wan_GGUF/resolve/main/RMBG2/BiRefNet_config.py
298 Bytes
| from transformers import PretrainedConfig | |
| class BiRefNetConfig(PretrainedConfig): | |
| model_type = "SegformerForSemanticSegmentation" | |
| def __init__( | |
| self, | |
| bb_pretrained=False, | |
| **kwargs | |
| ): | |
| self.bb_pretrained = bb_pretrained | |
| super().__init__(**kwargs) | |