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semiosphere/the_artist_for_chromaHD
the_artist_for_chromaHD is a text-to-image model from semiosphere. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as cc-by-4.0.
Downloads · 30 days
58
13% of all-time downloads
All-time downloads
438
Public
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44.7 MB
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3
Public
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.safetensors42.4 MB · 95%
From the Hugging Face model README
"Visualizing the Latent Space."
This LoRA was trained to generate abstract, geometric representations of what happens inside a Transformer model during inference. It translates mathematical concepts—vectors, attention heads, and token collapse—into visual metaphors using a vibrant, neon-noir aesthetic.
Trained for: Chroma HD (Flux Architecture)
The imagery follows a specific logic based on LLM architecture:
While trained on natural language, this LoRA responds incredibly well to Danbooru-style tags for precision control.
Example Prompt using Bandoor tags: > `the_artist, masterpiece, best quality, latent space, neon flowers, lightning vectors, blue and magenta, dark background, 3d render, abstract`
This model is offered as is. It's just a LoRA model and it cannot answer for contents related to base model.
Research and education
Dataset is shared and it provides all images and descriptions used for training the model.
This model is an artistic exploration of AI architecture.*
You should use the_artist to trigger the image generation.
Download them in the Files & versions tab.
{
"engine": "kohya",
"unetLR": 0.0005,
"clipSkip": 1,
"loraType": "lora",
"keepTokens": 0,
"networkDim": 2,
"numRepeats": 9,
"resolution": 1024,
"lrScheduler": "cosine_with_restarts",
"minSnrGamma": 5,
"noiseOffset": 0.1,
"targetSteps": 259,
"enableBucket": true,
"networkAlpha": 16,
"optimizerType": "AdamW8Bit",
"textEncoderLR": 0,
"maxTrainEpochs": 5,
"shuffleCaption": false,
"trainBatchSize": 4,
"flipAugmentation": true,
"lrSchedulerNumCycles": 3
}