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
| { | |
| "_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 | |
| } |