Instructions to use fishze/Refacade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fishze/Refacade with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fishze/Refacade", torch_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: 347 Bytes
c9faca7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"_class_name": "VaceWanModel",
"_diffusers_version": "0.30.0",
"dim": 1536,
"eps": 1e-06,
"ffn_dim": 8960,
"freq_dim": 256,
"in_dim": 16,
"model_type": "t2v",
"num_heads": 12,
"num_layers": 30,
"out_dim": 16,
"text_len": 256,
"vace_layers": [0, 5, 10, 15, 20, 25],
"vace_in_dim": 16
}
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