Instructions to use aabyaneh/fasterwam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aabyaneh/fasterwam with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aabyaneh/fasterwam", 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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Index completed joint fasterwam_new A12 job4518 epochs 10/20/30
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Publish joint/fasterwam_new/train90_joint_job4518: metadata
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Publish joint/fasterwam_new/train90_joint_job4518: weights
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Publish joint LingBot-VA steps1200/1500/3000 with validation and inference assets
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Replace joint pi0.5 epochs10/20 with epochs40/50; retain epoch30
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Index corrected joint epoch checkpoints and move previous FastWAM run under old
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Publish corrected joint pi0.5 requested epoch checkpoints
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Publish corrected joint fastwam requested epoch checkpoints
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Publish corrected joint fasterwam requested epoch checkpoints
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Preserve previous joint FastWAM run under old before corrected-data replacement
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Make corrected-data epoch-30 FasterWAM current; move previous run under old
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Publish joint/fasterwam/train90_joint_job4414: metadata
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Publish joint/fasterwam/train90_joint_job4414: weights
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Preserve previous joint FasterWAM run in old before replacement
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Publish joint/fasterwam/train90_joint_job4247: metadata
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Publish joint/fasterwam/train90_joint_job4247: weights
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Document five completed 90/10 runs (jobs 4135, 4137, 4138, 4139, 4146)
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Publish joint/fastwam/train90_joint_job4146: metadata
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Publish joint/fastwam/train90_joint_job4146: weights
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Move joint to top level, flatten task runs and shorten archive names
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