Instructions to use Esdolo/FreeVS_WOD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Esdolo/FreeVS_WOD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Esdolo/FreeVS_WOD", torch_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: 591 Bytes
9902a8d | 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 27 28 29 | {
"_class_name": "StableVideoDiffusionPipeline_convnb",
"_diffusers_version": "0.28.0.dev0",
"feature_extractor": [
"transformers",
"CLIPImageProcessor"
],
"image_encoder": [
"transformers",
"CLIPVisionModelWithProjection"
],
"layout_encoder": [
"src.encoder.unified_encoder",
"LayoutCondEncoder"
],
"scheduler": [
"diffusers",
"EulerDiscreteScheduler"
],
"unet": [
"src.model.unet_spatial_temporal_condition_custom",
"UNetSpatioTemporalConditionModelV2"
],
"vae": [
"diffusers",
"AutoencoderKLTemporalDecoder"
]
}
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