Instructions to use FastVideo/Matrix-Game-2.0-TempleRun-Distilled-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-TempleRun-Distilled-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-TempleRun-Distilled-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: 430 Bytes
b4a2706 69c14b9 b4a2706 409def2 b4a2706 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"_class_name": "MatrixGame2CausalDMDPipeline",
"_diffusers_version": "0.33.1",
"scheduler": [
"diffusers",
"SelfForcingFlowMatchScheduler"
],
"transformer": [
"diffusers",
"CausalMatrixGame2WanModel"
],
"vae": [
"diffusers",
"AutoencoderKLWan"
],
"image_encoder": [
"transformers",
"CLIPVisionModel"
],
"image_processor": [
"transformers",
"CLIPImageProcessor"
]
} |