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@@ -172,3 +172,7 @@ Photorealistic/Nokia_v1.2.jpg filter=lfs diff=lfs merge=lfs -text
 Monsters/Fantasy_Fauna_style.jpg filter=lfs diff=lfs merge=lfs -text
 Monsters/Humanoid_beta.jpg filter=lfs diff=lfs merge=lfs -text
 Digital_Style/darkAndDarkerLoadingScreenArt_v40FINAL.jpg filter=lfs diff=lfs merge=lfs -text
+Kontext/kontext_big_breasts_and_butts.jpg filter=lfs diff=lfs merge=lfs -text
+Kontext/Kontext_Postapocalyptic_P0stAp0calyptic.png filter=lfs diff=lfs merge=lfs -text
+Kontext/StopMotionClay.jpg filter=lfs diff=lfs merge=lfs -text
+Kontext/zoomout-fal-v1.png filter=lfs diff=lfs merge=lfs -text

Kontext/Kontext_Postapocalyptic_P0stAp0calyptic.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a94558e276bbc3f3362ba01864f0157de8ee51526d6efbb70fd28bda27678d12
+size 343806400

Kontext/Kontext_Postapocalyptic_P0stAp0calyptic/trigger.txt

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+remove people, Transform the scene into a P0stAp0calyptic scene while preserving the original composition, proportions and viewing angle. damaged building
+
+P0stAp0calyptic
+
+----
+
+
+A LoRA model designed to convert any urban, natural, or architectural scene into a realistic post-apocalyptic version of itself — while preserving the original camera angle, composition, and proportions.
+
+Base prompt:
+"remove people, Transform the scene into a P0stAp0calyptic scene while preserving the original composition, proportions and viewing angle. damaged building."
+
+You can enrich the prompt with more precise elements to match your creative intent:
+
+"a damaged and rusty modern SUV car is on the floor"
+
+"bridge totally collapsed", "radioactive atmosphere", "sunrise", "dry cracked ground"
+
+"abandoned building, no glass, no roof"
+
+"savage vegetation invading the place"
+
+The model shifts lighting and tones toward ochre, green, or dusty desaturation. It introduces decay, destruction, and nature reclaiming space — with broken structures, rust, mud, or debris.
+
+It performs particularly well on modern environments like streets, rooftops, malls, parks, waterparks, etc.
+
+Training was done over 2500 steps, locally using AI-Toolkit, on a custom dataset of 20 couples of images.
+
+✦ Best suited for:
+Creating believable post-disaster environments.
+
+Reimagining public spaces as ruins or abandoned zones.
+
+Generating visuals for video games, dystopian fiction, or concept art.

Kontext/StopMotionClay.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a211e573930e5acfc5f47e388a94ec664c3b570c5be557ad2ab3ac39328c5d26
+size 171969368

Kontext/StopMotionClay/trigger.txt

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+Turn this image to StopMotionClay
+
+
+e.g. maybe: 
+
+Retain face features, camera angle, pose, scale. Don't change her identitiy nwhile maintening original composition. Turn this image style to ultrarealistic style. Retain face features, camera angle, pose.

Kontext/kontext_big_breasts_and_butts.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c6f25430c92228c7c72e7ac6294ed5019ef9a6623246e03b746a6da2ea34170
+size 306593008

Kontext/kontext_big_breasts_and_butts/info.txt

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+kontext lora to make breasts and butts slightly bigger you can run the output in again if it is not big enough or play around with the lora weights
+
+utilize the prompt:
+
+make the woman's breasts larger and her hips wider
+
+trained on a dataset of 50 pairs of images from VAM in which the same pose + clothing + camera angle is used on 2 different morphs one with small breasts and ass one with big breasts and ass, so far testing on realistic images works well. Males were included in the training data, in which they are not altered, however it seems that the model is sometimes altering male chests and butts. Works for anime as well. Works for both nude and and clothed bodies. In general it handles complex poses pretty well as the dataset used a good variety of poses.
+
+link to full write up on how this was trained and learnings from this experiment:
+
+https://www.reddit.com/r/StableDiffusion/comments/1m7qd8y/flux_kontext_lora_sliders/
+
+edit:
+
+after further testing it seems that the adjustment is a bit small, thus requiring too many loops of refeeding the output into the input to get truly massive breasts. Feeding the output into the input starts to generate noticeable degradation in quality which starts becoming very noticeable 3 iterations in. The dataset breast and butt enlargement is about twice as significant as the lora results so for future trainings I will keep in mind to exaggerate the before and after in training data

Kontext/pimp_my_ride.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:27a51ff6cabfd52ab3edf1bf4161ccc021c5f7c31f4c5e2ec747cd293178cccc
+size 171969344

Kontext/pimp_my_ride/trigger.txt

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+Change the car to the same model, but tuned — like a Pimp My Ride version
+
+
+"Change the car to the same model, but tuned — like a Pimp My Ride version, volvo, white car"

Kontext/put_it_here_Kontext-lora.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d37cffbebcdf70fe8c358820ed7aea31e0df5d87145f0a68dc13d27aeaa03f35
+size 179399224

Kontext/put_it_here_Kontext-lora/trigger.txt

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+put it here

Kontext/zoomout-fal-v1.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0aae532bbe5c166d359585dfec983199d8c35158ccfe6ada43594d6ba059ee80
+size 306793968

Kontext/zoomout-fal-v1/info.txt

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+
+After dozens of experiments I’ve settled on the version that’s giving me the most reliable zoom‑outs. I tried training separate LoRAs for extreme, large, and medium zoom levels, but those models were too unpredictable—so I’m sticking with this single “all‑rounder.”
+
+Known caveats
+
+Out‑paint artifacts – some images pick up chunky/pixelated edges in the newly generated areas.
+
+Human close‑ups – very tight crops of faces, hands, or bodies can warp badly.
+
+No precise zoom slider – you can’t tell it “zoom out 10×”; results vary, so experiment.
+
+How to prompt
+Use the base prompt below, then bolt on whatever you’d like to see in the expanded frame. Example:
+
+Zoom out and keep the visible subject exactly the same in position, scale and appearance. Expand the canvas evenly in every direction and fill all new areas with a natural continuation of the scene, matching the original lighting, perspective and photographic style. 
+You can change the target latent image size different from your source image size. For example; if your image is vertical, you can expand/apply the zoom out horizontally. Feel free to check the example images.
+
+LoRA also works with Nunchaku workflows.
+
+That’s it—give it a spin and let me know how it works for you!
+
+LoRA trained with fal.ai Flux Kontext LoRA Trainer, with 70+ pairs, 0.0003 LR, 3000 steps

Kontext/zoomout-fal-v1/trigger.txt

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+Zoom out and keep the visible subject exactly the same in position, scale and appearance. Expand the canvas evenly in every direction and fill all new areas with a natural continuation of the scene, matching the original lighting, perspective and photographic style.