Instructions to use FastVideo/Matrix-Game-2.0-Base-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/Matrix-Game-2.0-Base-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/Matrix-Game-2.0-Base-Diffusers", 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: 524 Bytes
f89f9ae c815ab6 f89f9ae c815ab6 f89f9ae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"_class_name": "UniPCMultistepScheduler",
"_diffusers_version": "0.34.0.dev0",
"disable_corrector": [],
"dynamic_thresholding_ratio": 0.995,
"final_sigmas_type": "zero",
"lower_order_final": true,
"num_train_timesteps": 1000,
"predict_x0": true,
"prediction_type": "flow_prediction",
"sample_max_value": 1.0,
"flow_shift": 1.0,
"solver_order": 2,
"solver_p": null,
"solver_type": "bh2",
"steps_offset": 0,
"thresholding": false,
"use_flow_sigmas": true,
"timestep_spacing": "linspace"
} |