Instructions to use Abdualkader/MultiViewDiff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Abdualkader/MultiViewDiff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Abdualkader/MultiViewDiff", 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
Update pipeline_mvdiffusion.py
Browse files- pipeline_mvdiffusion.py +1 -1
pipeline_mvdiffusion.py
CHANGED
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@@ -65,7 +65,7 @@ class MVDiffusionPipeline(StableDiffusionPipeline):
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image_encoder=image_encoder,
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requires_safety_checker=requires_safety_checker,
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)
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-
self.num_views =
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def load_ip_adapter(
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self,
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image_encoder=image_encoder,
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requires_safety_checker=requires_safety_checker,
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)
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+
self.num_views = 4
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def load_ip_adapter(
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self,
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