Instructions to use PISCO-Insertion/PISCO-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PISCO-Insertion/PISCO-1.3B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PISCO-Insertion/PISCO-1.3B", 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: 416 Bytes
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"_class_name": "PISCOWanModel",
"_diffusers_version": "0.30.0",
"dim": 1536,
"eps": 1e-06,
"ffn_dim": 8960,
"freq_dim": 256,
"in_dim": 16,
"model_type": "pisco",
"num_heads": 12,
"num_layers": 30,
"out_dim": 16,
"text_len": 512,
"vace_layers": [
0,
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],
"pisco_in_dim": 132
} |