v0.0.0 (Initial Release)The purpose of this LoRA is to break the AI's deeply hardcoded composition bias of placing a "girl in the center of the frame." To achieve this, it was trained on 60 images where the subject is intentionally positioned away from the center. As a result, the output strongly mimics the compositions found under the <a rel="ugc" href="https://danbooru.donmai.us/wiki_pages/fixed-point%20camera">fixed-point camera</a>.How to Use &amp; Tips: The trigger word fpcview alone is not enough to force the effect. To get the best results, please assist the composition by combining it with traditional perspective/positional tags, such as:<ul><li><code>from above</code>, <code>wide shot</code>, <code>dutch angle</code></li><li><code>head out of frame</code>, <code>straight-on</code></li><li>Or descriptive natural language like: <code>"The character stands near the edge of the frame while a large empty space remains visible."</code></li></ul>Known Issues (Composition Conflicts): Because this LoRA strongly conflicts with the AI's default composition rules, you may encounter the following issues:<ul><li>Resolution &amp; Aspect Ratio: More than 50 of the training images are in horizontal (landscape) format. Therefore, this LoRA may not function properly if you attempt to generate images in vertical (portrait) or square aspect ratios.</li><li>The character count might unintentionally increase.</li><li>Instead of generating <code>1girl, 1boy</code>, the two characters may "melt" (fuse) together, rendering only a single bizarre person.</li><li>(During my own testing, this conflict once generated an image of a bald middle-aged man lying limp on a bed with an ecstatic expression. For the record, I am straight.)</li></ul>

Concept > Fixed-Point Camera

Tweaks.The changes from v0.0.0 are as follows:<ul><li>Training dataset adjustments (60 → 75 images)<ul><li>Removed several images that I felt were not particularly effective as training data.</li><li>Added nearly 20 images that were considered more suitable as training data, including examples featuring wide shot + indoors, fixed-point camera, from above, and other relevant compositions.</li><li>Removed tags with little relevance to the concept, such as highres and absurdres.</li></ul></li><li>Training settings<ul><li>Increased dim from 4 to 8.</li><li>Removed the 200-step warmup.</li><li>Changed the learning-rate schedule from cosine 600 to constant 400 + cosine 50.</li></ul></li></ul>dim8/alpha8, UNet LR 1e-04, AdamW8bit, warmup 0, constant 400 + cosine 50 steps(50/200steps), 512² reso, 75 images.

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