<p><strong><span style="color:#228be6">Approaching long depth-of-field for cinematic photos. </span></strong></p><p>I started by training Flux on the same dataset as used for the SDXL model, Eldritch Photography - that didn't yield pleasing results at all. And I realized that what I want to achieve most with Flux is a long DOF that doesn't require you to prompt for snapshots or badly-printed drugstore film from the 90s, or cellphone style pics in order to achieve it.</p><p>So I changed the dataset a bunch, reduced the noise texture a ton, and modified the color/tonal edits. I think it will deserve at least another pass ... still getting familiar with what I have here. </p><p><strong><span style="color:#fa5252">This model is quite sensitive to Sampler and steps!</span></strong> My usual fav sampler, ipndm, yields ugly noise and artifacts half the time. Currently, testing best for me is Euler for sampler, beta for scheduler, and 22+ steps. </p><p> You won't always get the full depth of field, but it is almost always an improvement on the over-the-top bokeh of the default model. </p>
Public
Flux.1 D
<p>Beta - initial version</p>
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Success
2024-09-03T16:25:55.995Z
Model
Success
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v1.0
2024-09-03T16:57:02.434Z
Eldritch Photography | for Flux.1 dev
analog style photography long dof