❌💲 Commercial use of this model is not allowed
I like this bird species, but AI simply can't generate it, the closest you can get is an ambiguous corvid. So I made this LoRA to see if I can make it work.
🏷 DATASET TAGS (doesn't apply to the Flux version)
Tagging is a mix of autotagging and manual.
The whole dataset is tagged with "jackdaw, western jackdaw, eurasian jackdaw, coloeus monedula, corvus monedula, corvid, bird, feral, animal, animal focus, realistic, no humans".
Some pictures focus on the bird's head, most of the others use "fullbody".
Most images in the dataset show solo birds (tagged "solo, 1 jackdaw, 1 bird"), a few images show two ("duo, 2 jackdaws, 2 birds").
🖼 DATASET
122 images which are photos only (doesn't apply to the Flux version). I don't own anything.
Images don't contain signatures/watermarks.
Resolution is all over the place, flying pictures are lower quality overall, though some images were large enough to be automatically sized down.
Images don't show any humans or other distinct creatures.
Only adult birds with normal colouration. No eggs, hatchlings or fledglings, no colouration anomalies.
⚠ ISSUES
The bird's colouration may be distorted in cartoony results.
Description
My first ever SD3.5 LoRA. The lack of animal LoRAs for SD3.5 or "how many images to use for SD3.5 dataset" guides isn't reassuring. I decided to reuse the Flux dataset (30 images with natural language captions). I went for SD3.5 Large and not Medium after seeing a comparison that shows a big difference.
I spent 3500 Buzz and waited 2 days for the on-site generator to get fixed, only to see this LoRA doesn't even really work. I guess 30 images is too little for a dataset.
Trained on-site.
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Same model published on other platforms. May have additional downloads or version variants.