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  ---
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  license: mit
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  pipeline_tag: text-to-image
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- tags:
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- - text-to-image
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- - flow-matching
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- - diffusion-transformer
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- - pyramidal-unet
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- - 256x256
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- - ettin-150m
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- - from-scratch
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- - ra
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- - udit
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  datasets:
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  - LucasFang/FLUX-Reason-6M
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  ---
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  # Ra
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- **Ra** is a **256×256 text-to-image** model trained from scratch: 177.3M parameters in three parts —
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- a pyramidal U-transformer (143.3M) flowing in an 8×/32-channel latent, a frozen Ettin-150M text
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- encoder with a learnable layer-slice mixer (10.0M), and the AE decoder retrained as a pixel-space
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- flow head (23.9M). Named after the sun god because the body is a pyramid of widths: 192 channels
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- where the grid is dense, 1536 where only 16 tokens remain.
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  | | |
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  |---|---|
@@ -31,19 +20,16 @@ where the grid is dense, 1536 where only 16 tokens remain.
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  | training | FLUX-Reason-6M, one RTX 4080 |
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  | licence | MIT |
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- **Training is still running.** The bundled `transformer/` is a snapshot of **step 212 000**; lr was
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- restarted at 1e-4 on step 192 000, so the snapshot is mid-recovery and will be replaced.
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  ## Examples
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- Step 212 000, 256 px, 16 body steps, 8 head steps, cfg 2.5, seed 0:
 
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  <img src="docs/img/samples.png" width="100%"/>
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- Reading order: red fox in fresh snow · sailboat at sunset · portrait of an elderly fisherman ·
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- sunflowers under a stormy sky · blue morpho on an orchid · white butterfly with orange tips ·
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- dark swallowtail on white · monarch on a pink flower.
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-
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  The butterfly domain it started from, before the FLUX-Reason stream (step 20 003, earlier weights):
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  <img src="docs/img/samples_butterflies_20k.png" width="100%"/>
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  ## Limitations
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- - Animal anatomy fails (see the fox), hands fail; detail finer than 8 px is invented by the AE decoder.
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  - Loose caption adherence, no glyphs, 256² only. Research artifact — no safety tuning, no filter.
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- ## Files and licences
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-
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- `transformer/` weights (step 212 000) · `vae/` f8c32-ae · `text_encoder/` Ettin-150M · `src/` model,
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- trainer, sampler · `docs/ARCH.md` architecture, `docs/STATUS.md` plans, `docs/presentation.pdf` (RU).
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- MIT for our code and weights; the bundled Ettin-150M is MIT and f8c32-ae is Apache-2.0.
 
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  ---
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  license: mit
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  pipeline_tag: text-to-image
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+ tags: [text-to-image, flow-matching, pyramidal-unet, 256x256, ettin-150m, from-scratch, ra, udit]
 
 
 
 
 
 
 
 
 
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  datasets:
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  - LucasFang/FLUX-Reason-6M
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  ---
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  # Ra
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+ **Ra** is a **256×256 text-to-image** model trained from scratch: 177.3M parameters — a pyramidal
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+ U-transformer (143.3M) flowing in an 8×/32-channel latent, a frozen Ettin-150M text encoder with a
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+ learnable layer-slice mixer (10.0M), and the AE decoder retrained as a pixel-space flow head (23.9M).
 
 
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  | | |
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  |---|---|
 
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  | training | FLUX-Reason-6M, one RTX 4080 |
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  | licence | MIT |
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+ **Training is still running** — the bundled `transformer/` is a snapshot of step **212 000** (lr was
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+ restarted at 1e-4 on step 192 000, so it is mid-recovery and will be replaced).
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  ## Examples
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+ Step 212 000, 256 px, 16 body steps, 8 head steps, cfg 2.5, seed 0 — fox · sailboat · fisherman ·
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+ sunflowers · blue morpho · white butterfly · swallowtail · monarch:
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  <img src="docs/img/samples.png" width="100%"/>
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  The butterfly domain it started from, before the FLUX-Reason stream (step 20 003, earlier weights):
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  <img src="docs/img/samples_butterflies_20k.png" width="100%"/>
 
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  ## Limitations
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+ - Animal anatomy fails (see the fox), hands fail; detail finer than 8 px is invented by the decoder.
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  - Loose caption adherence, no glyphs, 256² only. Research artifact — no safety tuning, no filter.
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+ MIT for our code and weights (`src/`, `transformer/`); bundled Ettin-150M is MIT, f8c32-ae
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+ Apache-2.0. Architecture notes: `docs/ARCH.md`, Russian slides: `docs/presentation.pdf`.