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
add option n_view
Browse files- unet/mv_unet.py +1 -0
unet/mv_unet.py
CHANGED
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@@ -159,6 +159,7 @@ class UnifieldWrappedUNet(UNet2DConditionModel):
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num_modalities = num_modalities,
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base_img_size = latent_size,
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chain_pos = multiview_chain_pose,
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)
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switch_multiview_processor(self, enable_filter=lambda name: name.endswith(f"{multiview_attn_position}.processor"))
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num_modalities = num_modalities,
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base_img_size = latent_size,
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chain_pos = multiview_chain_pose,
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+
views=n_views
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)
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switch_multiview_processor(self, enable_filter=lambda name: name.endswith(f"{multiview_attn_position}.processor"))
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