Instructions to use xixircc/MetaRigCapture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xixircc/MetaRigCapture with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xixircc/MetaRigCapture", 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: 749 Bytes
d9fac04 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | {
"per_channel": true,
"reduce_range": true,
"per_model_config": {
"model": {
"op_types": [
"Unsqueeze",
"Shape",
"Transpose",
"Sqrt",
"Gather",
"Slice",
"Erf",
"Div",
"Reshape",
"Add",
"Cast",
"Sub",
"Concat",
"ReduceMean",
"Mul",
"Conv",
"Constant",
"Resize",
"Softmax",
"Pow",
"Relu",
"MatMul"
],
"weight_type": "QUInt8"
}
}
} |