Instructions to use impactframes/Envision3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use impactframes/Envision3D with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("impactframes/Envision3D", 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: 548 Bytes
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"_class_name": "StableVideoDiffusionPipeline",
"_diffusers_version": "0.24.0",
"_name_or_path": "stabilityai/stable-video-diffusion-img2vid-xt",
"feature_extractor": [
"transformers",
"CLIPImageProcessor"
],
"image_encoder": [
"transformers",
"CLIPVisionModelWithProjection"
],
"scheduler": [
"diffusers",
"EulerDiscreteScheduler"
],
"unet": [
"models.unet_spatio_temporal_condition",
"UNetSpatioTemporalConditionModel"
],
"vae": [
"diffusers",
"AutoencoderKLTemporalDecoder"
]
}
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