Instructions to use nvidia/AnyFlow-Wan2.1-T2V-14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nvidia/AnyFlow-Wan2.1-T2V-14B-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("nvidia/AnyFlow-Wan2.1-T2V-14B-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: 528 Bytes
d98db3a | 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 | {
"_class_name": "WanAnyFlowPipeline",
"_diffusers_version": "0.35.1",
"_name_or_path": "Wan-AI/Wan2.1-T2V-14B-Diffusers",
"scheduler": [
"far.schedulers.scheduling_flowmap_euler_discrete",
"FlowMapDiscreteScheduler"
],
"text_encoder": [
"transformers",
"UMT5EncoderModel"
],
"tokenizer": [
"transformers",
"T5TokenizerFast"
],
"transformer": [
"far.models.transformer_far_wan_model",
"FAR_Wan_Transformer3DModel"
],
"vae": [
"diffusers",
"AutoencoderKLWan"
]
}
|