Instructions to use Luffuly/unique3d-mvimage-diffuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luffuly/unique3d-mvimage-diffuser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Luffuly/unique3d-mvimage-diffuser", 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
fix params save bug
Browse files- unet/mv_unet.py +1 -1
unet/mv_unet.py
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@@ -150,7 +150,7 @@ class UnifieldWrappedUNet(UNet2DConditionModel):
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):
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super().__init__(**{
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k: v for k, v in locals().items() if k not in
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["self", "kwargs", "__class__"
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})
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add_multiview_processor(
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):
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super().__init__(**{
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k: v for k, v in locals().items() if k not in
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["self", "kwargs", "__class__"]
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})
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add_multiview_processor(
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