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 dinov2-large/config.json from MonsterMMORPG/Wan_GGUF: direct link, hf CLI and curl.
- Browser
- Download file 549 Bytes
-
https://huggingface.co/MonsterMMORPG/Wan_GGUF/resolve/main/dinov2-large/config.json
- Command line
-
hf download hf://MonsterMMORPG/Wan_GGUF/dinov2-large/config.json
-
curl -L -o config.json https://huggingface.co/MonsterMMORPG/Wan_GGUF/resolve/main/dinov2-large/config.json
549 Bytes
| { | |
| "architectures": [ | |
| "Dinov2Model" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "drop_path_rate": 0.0, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 1024, | |
| "image_size": 518, | |
| "initializer_range": 0.02, | |
| "layer_norm_eps": 1e-06, | |
| "layerscale_value": 1.0, | |
| "mlp_ratio": 4, | |
| "model_type": "dinov2", | |
| "num_attention_heads": 16, | |
| "num_channels": 3, | |
| "num_hidden_layers": 24, | |
| "patch_size": 14, | |
| "qkv_bias": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.31.0.dev0", | |
| "use_swiglu_ffn": false | |
| } | |