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Datasets:
AbstractPhil
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geolip-beatrix-anima-data

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Text-to-Image
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Formats:
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Size:
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Tags:
anima
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training-data
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Dataset card Data Studio Files
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masterpiece, best quality, score_7, safe, an illustration of a city street with parked cars.
masterpiece, best quality, score_7, safe, an illustration of a city street with parked cars.
masterpiece, best quality, score_7, safe, an illustration of a city street with parked cars.
masterpiece, best quality, score_7, safe, an illustration of a city street with parked cars.
masterpiece, best quality, score_7, safe, an illustration of a city street with parked cars.
masterpiece, best quality, score_7, safe, an illustration of a city street with parked cars.
masterpiece, best quality, score_7, safe, an illustration of a city street with parked cars.
masterpiece, best quality, score_7, safe, an illustration of a city street with parked cars.
masterpiece, best quality, score_7, safe, an illustration of a kitchen with a wooden table.
masterpiece, best quality, score_7, safe, an illustration of a kitchen with a wooden table.
masterpiece, best quality, score_7, safe, an illustration of a kitchen with a wooden table.
masterpiece, best quality, score_7, safe, an illustration of a kitchen with a wooden table.
masterpiece, best quality, score_7, safe, an illustration of a kitchen with a wooden table.
masterpiece, best quality, score_7, safe, an illustration of a kitchen with a wooden table.
masterpiece, best quality, score_7, safe, an illustration of a kitchen with a wooden table.
masterpiece, best quality, score_7, safe, an illustration of a kitchen with a wooden table.
masterpiece, best quality, score_7, safe, an illustration of a dog sitting on a lawn.
masterpiece, best quality, score_7, safe, an illustration of a dog sitting on a lawn.
masterpiece, best quality, score_7, safe, an illustration of a dog sitting on a lawn.
masterpiece, best quality, score_7, safe, an illustration of a dog sitting on a lawn.
masterpiece, best quality, score_7, safe, an illustration of a dog sitting on a lawn.
masterpiece, best quality, score_7, safe, an illustration of a dog sitting on a lawn.
masterpiece, best quality, score_7, safe, an illustration of a dog sitting on a lawn.
masterpiece, best quality, score_7, safe, an illustration of a dog sitting on a lawn.
masterpiece, best quality, score_7, safe, an illustration of a train at a station platform.
masterpiece, best quality, score_7, safe, an illustration of a train at a station platform.
masterpiece, best quality, score_7, safe, an illustration of a train at a station platform.
masterpiece, best quality, score_7, safe, an illustration of a train at a station platform.
masterpiece, best quality, score_7, safe, an illustration of a train at a station platform.
masterpiece, best quality, score_7, safe, an illustration of a train at a station platform.
masterpiece, best quality, score_7, safe, an illustration of a train at a station platform.
masterpiece, best quality, score_7, safe, an illustration of a train at a station platform.
masterpiece, best quality, score_7, safe, an illustration of a woman reading a book on a bench.
masterpiece, best quality, score_7, safe, an illustration of a woman reading a book on a bench.
masterpiece, best quality, score_7, safe, an illustration of a woman reading a book on a bench.
masterpiece, best quality, score_7, safe, an illustration of a woman reading a book on a bench.
masterpiece, best quality, score_7, safe, an illustration of a woman reading a book on a bench.
masterpiece, best quality, score_7, safe, an illustration of a woman reading a book on a bench.
masterpiece, best quality, score_7, safe, an illustration of a woman reading a book on a bench.
masterpiece, best quality, score_7, safe, an illustration of a woman reading a book on a bench.
masterpiece, best quality, score_7, safe, an illustration of a living room with a sofa and a lamp.
masterpiece, best quality, score_7, safe, an illustration of a living room with a sofa and a lamp.
masterpiece, best quality, score_7, safe, an illustration of a living room with a sofa and a lamp.
masterpiece, best quality, score_7, safe, an illustration of a living room with a sofa and a lamp.
masterpiece, best quality, score_7, safe, an illustration of a living room with a sofa and a lamp.
masterpiece, best quality, score_7, safe, an illustration of a living room with a sofa and a lamp.
masterpiece, best quality, score_7, safe, an illustration of a living room with a sofa and a lamp.
masterpiece, best quality, score_7, safe, an illustration of a living room with a sofa and a lamp.
masterpiece, best quality, score_7, safe, an illustration of a man riding a bicycle on a road.
masterpiece, best quality, score_7, safe, an illustration of a man riding a bicycle on a road.
masterpiece, best quality, score_7, safe, an illustration of a man riding a bicycle on a road.
masterpiece, best quality, score_7, safe, an illustration of a man riding a bicycle on a road.
masterpiece, best quality, score_7, safe, an illustration of a man riding a bicycle on a road.
masterpiece, best quality, score_7, safe, an illustration of a man riding a bicycle on a road.
masterpiece, best quality, score_7, safe, an illustration of a man riding a bicycle on a road.
masterpiece, best quality, score_7, safe, an illustration of a man riding a bicycle on a road.
masterpiece, best quality, score_7, safe, an illustration of a cat on a windowsill.
masterpiece, best quality, score_7, safe, an illustration of a cat on a windowsill.
masterpiece, best quality, score_7, safe, an illustration of a cat on a windowsill.
masterpiece, best quality, score_7, safe, an illustration of a cat on a windowsill.
masterpiece, best quality, score_7, safe, an illustration of a cat on a windowsill.
masterpiece, best quality, score_7, safe, an illustration of a cat on a windowsill.
masterpiece, best quality, score_7, safe, an illustration of a cat on a windowsill.
masterpiece, best quality, score_7, safe, an illustration of a cat on a windowsill.
masterpiece, best quality, score_7, safe, an illustration of a market stall with vegetables.
masterpiece, best quality, score_7, safe, an illustration of a market stall with vegetables.
masterpiece, best quality, score_7, safe, an illustration of a market stall with vegetables.
masterpiece, best quality, score_7, safe, an illustration of a market stall with vegetables.
masterpiece, best quality, score_7, safe, an illustration of a market stall with vegetables.
masterpiece, best quality, score_7, safe, an illustration of a market stall with vegetables.
masterpiece, best quality, score_7, safe, an illustration of a market stall with vegetables.
masterpiece, best quality, score_7, safe, an illustration of a market stall with vegetables.
masterpiece, best quality, score_7, safe, an illustration of a bedroom with a window.
masterpiece, best quality, score_7, safe, an illustration of a bedroom with a window.
masterpiece, best quality, score_7, safe, an illustration of a bedroom with a window.
masterpiece, best quality, score_7, safe, an illustration of a bedroom with a window.
masterpiece, best quality, score_7, safe, an illustration of a bedroom with a window.
masterpiece, best quality, score_7, safe, an illustration of a bedroom with a window.
masterpiece, best quality, score_7, safe, an illustration of a bedroom with a window.
masterpiece, best quality, score_7, safe, an illustration of a bedroom with a window.
masterpiece, best quality, score_7, safe, an illustration of a group of people at a restaurant table.
masterpiece, best quality, score_7, safe, an illustration of a group of people at a restaurant table.
masterpiece, best quality, score_7, safe, an illustration of a group of people at a restaurant table.
masterpiece, best quality, score_7, safe, an illustration of a group of people at a restaurant table.
masterpiece, best quality, score_7, safe, an illustration of a group of people at a restaurant table.
masterpiece, best quality, score_7, safe, an illustration of a group of people at a restaurant table.
masterpiece, best quality, score_7, safe, an illustration of a group of people at a restaurant table.
masterpiece, best quality, score_7, safe, an illustration of a group of people at a restaurant table.
masterpiece, best quality, score_7, safe, an illustration of a mountain road with trees.
masterpiece, best quality, score_7, safe, an illustration of a mountain road with trees.
masterpiece, best quality, score_7, safe, an illustration of a mountain road with trees.
masterpiece, best quality, score_7, safe, an illustration of a mountain road with trees.
masterpiece, best quality, score_7, safe, an illustration of a mountain road with trees.
masterpiece, best quality, score_7, safe, an illustration of a mountain road with trees.
masterpiece, best quality, score_7, safe, an illustration of a mountain road with trees.
masterpiece, best quality, score_7, safe, an illustration of a mountain road with trees.
masterpiece, best quality, score_7, safe, an illustration of a classroom with desks.
masterpiece, best quality, score_7, safe, an illustration of a classroom with desks.
masterpiece, best quality, score_7, safe, an illustration of a classroom with desks.
masterpiece, best quality, score_7, safe, an illustration of a classroom with desks.
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geolip-beatrix-anima-data

Training sets drawn by the stock Anima-Base v1.0 model for the experiments in AbstractPhil/geolip-beatrix-anima. Each set is saved here once, so later runs download it instead of drawing it again.

Layout 

sets/<flavor>_<seed_base>-<key>/
  images/<name>.png    the image
  images/<name>.txt    its training caption
  items.jsonl          one line per image: name, seed, the prompt it was drawn with, its caption
  sheet.jpg            a contact sheet
  render.json          the settings that drew it

<key> is a short hash of everything that decides the pixels: the model file, the resolution, the sampler settings, the negative prompt, the batch size, and every prompt, seed and caption. A run reuses a set only when all of these match; changed settings make a new folder, and earlier sets stay for the experiments that used them.

The sets

The mood sets of the LoRA sequence: 24 everyday scenes x 8 seeds = 192 images per set, each drawn from the upbeat, neutral or downbeat wording of its scene and captioned with the neutral prompt (the model card's quality prefix + "an illustration of ."), so a LoRA trained on a set can only learn its mood as the prompt's default. Seeds 1000-1007 are the first draw, 2000-2007 the second.

Settings: 768 x 768, the Euler flow sampler of the training previews, 30 steps, guidance 4.5, shift 3, the model card's quality prefix and negative prompt; drawn with the AbstractEyes diffusion-pipe fork's Anima code through anima-trainer (geolip_anima_trainer/training_sets.py).

Licence

The images are outputs of Anima. Under the CircleStone Labs Non-Commercial License, outputs are not derivatives of the model and may be used for any purpose, including commercial use, except as that licence expressly prohibits; the non-commercial restriction applies to the model and its derivatives (such as LoRAs), not to generated images.

beatrix/

Features of a byte-level language model (Beatrix, AbstractPhil/alephllm-mini-beatrix-training, mini-beatrix-3 at step 212,000) for the mood phrases of the connector experiments (e013-e015 in geolip-beatrix-anima), computed once so the notebook never runs Beatrix:

  • mood_phrases_mini-beatrix-3_step212000.safetensors: tensors trained (the checkpoint) and random (an untrained trunk of the same shape, seed 0), each [74 phrases, 4096]: the state of the phrase's last byte after blocks 16, 18, 21 and 24, each layer-normalized without affine, concatenated, and standardized per feature over a reference set of mood words and phrases that holds no word of a held-out phrase. The metadata phrases lists every row (class up / down / neutral, split train / heldout, text); reference is the standardization set; tap describes the features.

beatrix/stitch/

A read of how far Beatrix's states can stand in for those of Anima's text encoder (Qwen3) inside a caption. Each caption holds one mood phrase. Beatrix reads the caption byte by byte; her states at the phrase's tokens, mapped into Qwen3's space by a ridge regression, replace Qwen3's own states at every token of the phrase at one depth of Qwen3, and the change in the output of Anima's text adapter is measured against two references: the unpatched caption, and the same caption with the phrase replaced by a neutral filler of the same token count. Two untrained trunks of Beatrix's shape (seeds 0 and 1) run the same grid as controls.

The grid: 3 trunks (Beatrix and the two controls) x 8 blocks of the trunk (8, 12, 16, 18, 20, 22, 24, 28) x 2 byte positions per token (the token's last byte, and the byte that closes it) x 2 ridge fits (COCO captions with the experiment's training captions, and COCO captions alone) x 9 depths of Qwen3 (the residual entering layers 0, 4, 8, 12, 16, 20 and 24, and after the last layer, before and after its final norm). 86 phrases in 32 scenes; the main read is 16 held-out phrases whose words the T5 tokenizer cuts into meaningless pieces (8 cheerful, 8 gloomy).

  • s0.pt: the phrase bank: the phrases with their classes and the held-out split, the captions, each phrase's neutral filler, the token positions and the ridge-fit captions.
  • <run>/stitch_<run>_full.json: every cell's reads, the precision checks and the margins.
  • <run>/stitch_<run>_percaption.pt: the per-caption effects behind the intervals (a cluster bootstrap over phrases).

Every .pt file loads with torch.load(path, weights_only=True).

Runs:

  • record/: mini-beatrix-3 at step 245,674 (the end of its training): the final read.
  • mounts/: mini-beatrix-3 at step 245,674 with trained adapter arms mounted (eight stage arms and a caption arm trained over them; two training seeds, each its own trunk in the grid): Beatrix's cells only (the first ridge fit, both byte positions, every block and depth); the controls and floors are the record run's, which do not depend on the arms.
  • frames/: the bare trunk and the two armed trunks with every caption prefixed by 'caption: ' (the caption arm's own training label), read only at the record run's chosen cells.
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