Instructions to use schrum2/MarioDiffusion-MLM-regular0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use schrum2/MarioDiffusion-MLM-regular0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("schrum2/MarioDiffusion-MLM-regular0", 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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Removing unnecessary files, reverting back to originals
1ef07aa -
Removed custom pipeline
008c17f -
Fixed name
0d67835 -
Change name to fail on purpose
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Move pipeline
c3802ea -
Access pipeline via other file
5ffad80 -
Attempting new file structure that requires fewer drastic changes
0ef1dd5 -
Revert all to basic model files
179f3e8 -
Loading into root will supposedly make them easier to find
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Add missing comma
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Hopefully the final files needed to make model usage possible
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Committing MLM-regular0
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