Instructions to use AiArtLab/ra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/ra with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiArtLab/ra", 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
Yesterday
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Ra fp16 (step 5000)
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Ra fp16 (step 652000)
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2 days ago
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Ra fp16 (step 460000)
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4 days ago
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Ra fp16 (step 560142)
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Ra fp16 (step 560142)
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Ra fp16 (step 560142)
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5 days ago
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Card: link the upstream autoencoder and text encoder
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Card: why the pyramid (11x less compute)
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Card: butterflies first (validated), then FLUX-Reason
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Card: compact
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Card: shorter, butterfly samples, training in progress
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Ra: card
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