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
update readme
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README.md
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@@ -9,7 +9,7 @@ pipe = StableDiffusionImage2MVCustomPipeline.from_pretrained(
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).to("cuda")
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image = Image.open('
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forward_args = dict(
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width=256,
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).to("cuda")
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image = Image.open('image.png').convert("RGB")
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forward_args = dict(
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width=256,
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