CL4P XML
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CL4PTRAP Official Channel | New Styles for you photos.

Discussion Group: @Cl4pDiscussion

Instagram: https://www.instagram.com/gian.flower

Web Page:
https://gianvidalflower.wixsite.com/cl4p
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CL4P_ArnovaBeta_TrueDSLR-V4.0.xml
8.7 KB
- New Tone curve
- More contrast
- Less noise
- More sharpness
- Accurate colours

(Use night sight in low light conditions)
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CL4P_Urnyx_DSLR-V1.0.xml
9.3 KB
First DSLR XML for the Urnyx v1.7

- Really sharp
- No noise
- Fast post-processing
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UltraCVM_v4.apk
74.9 MB
​​UltraCVM v4
Based on Arnova's 5betaFinal.7.3.020 builds
all Arnova goodies included ;)

v4 own features:
ULIB:
- Retuned to natural look (thx r0m10 for cooperation on this)
- Got rid of compression
- Got rid of downsampling
- Bilateral filter retweaked
- Sabre slightly retweaked
- Exposure slightly retweaked

Camera:
- Tuned for best possible picture quality (tested on Imx586)
- Redid & fixed Libpatcher
- Added spatial denoise
- Added option to use OEM noise model from rom libs
- Added shutter control
- Added exposure compensation
- Added AWB per AUX (thx Arnova for helping with that)
- Ported Xiaomi API2 camera & AI keys
- Added experimental Qualcomm HDR bracketing mode
- Added awesome Tone & Gamma graph UI (thx Overwhelmer for helping with them)
- Added video bitrate options (thx Urnyx for helping with this)
- Added all my v3 NoiseModels with auto detection per sensor (thx Overwhelmer for helping)
- IMX586 Per-channel noisemodeller (v4 retweaked and fixed thx to Savit
CL4P_UltraCVM_DSLR-V1.0.xml
8.2 KB
First DSLR XML for the UltraCVM Gcam

- Really sharp
- Good colours
- Almost no noise
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CL4P_Arnova_TrueDSLR-V4.1.xml
8.7 KB
Small update for the DSLR XML of the Arnova Beta

- New Tone curve
- More contrast
- Less noise
- More sharpness
- Accurate colours
- Less darker image

(Use night sight in low light conditions)
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CL4P_UrnyxV1.8_DSLR-V1.0.xml
9.8 KB
New DSLR XML for the Urnyx v1.8 by: @CL4PTRAP

Changelog:
- Sharp images
- Natural tone
- Better HDR
- Less noise
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Black Background Photography Tutorial by: @CL4PTRAP

To achieve this kind of Photography you can use any other gcam but I recommend you to use Hypercam Raizen with my XML.

Files used in the guide:
Results
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