Instructions to use Akash887/My-Multi-View-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akash887/My-Multi-View-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Akash887/My-Multi-View-Diffusion", 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
Commit History
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add imagedream
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Update README.md
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Update README.md
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Update README.md
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minify, update requirements
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minify
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isort
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embed mv_unet
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rename pipeline
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initial commit
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Update requirements.txt
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add elevation in call
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remove grad checkpointing
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finalize remote weights
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merged to one file for loading from huggingface...
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clean up...
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finally, everything works locally
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both worked... but imagedream quality is unmatched
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draft imagedream, before merge
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imagedream framework
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rename
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fix mvdream
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further clean!
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reformat, further clean
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clean up
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ign
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init
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