Mini Max H3: 0.8<pre><code>subject_definitions: &lt;Subject 1&gt; (S1) a female, Betty Rubble is the primary character in the video. (S1) is a mature 25-year-old American woman with a high pitched sweet voice with a strong New York City accent of the 1960s.

retention_analysis: &lt;Subject 1&gt; (appears in [Shot 1]): fully_preserved - She has dark black hair styled in a short, voluminous bob with bangs and a blue hair bow, light brown eyes, and medium skin tone. She wears a solid light blue halter style dress with a black neckstrap that joins at a white scallop shell pendant and has a jagged hemline.</code></pre>Krea2: Recommended Strength: 0.75-0.85<pre><code>betty rubble, she has dark black hair styled in a short, voluminous bob with bangs and a blue hair bow, light brown eyes, and medium skin tone.</code></pre><pre><code>She wears a solid light blue halter style dress with a black neckstrap that joins at a white shell pendant and has a jagged hemline.</code></pre> My final dataset of 56 images, I used these to train this model: "Betty Rubble - Realistic (ToonToLife) - The Flintstones (1960)" who is canonically in her mid 20s to 30yo. This specific version is trained at ~2,500 steps. I recommend using at 0.8 strength. Because the source material is a highly stylized 2D cartoon, the measure of success and interpretation of a "realistic" counterpart is inherently subjective. I welcome your feedback and test images! This LoRA is an experiment in translating a 2D animated style into photorealism. I used a combination of custom cartoon-style character LoRAs at low weights (0.3–0.5 strength) alongside detailed prompting and other style LoRAs to push the outputs toward realism. From these, I selected the best 20–60 images to train an initial realistic LoRA. Then, as needed, I generated a new batch of images and selected those that most closely matched the target body shape and consistent facial features to train the final LoRA.

Betty Rubble - Realistic (ToonToLife) - The Flintstones (1960) - MMH3, KREA2

v1.0 - initial published version (internal version is v2 hence the filename).

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