Krea_Onyx_V2_fp32.safetensors

1.75 GB · SafeTensor · fp32

Krea_Onyx_V2_bf16.safetensors

895 MB · SafeTensor · bf16

<onyx2-krea2>

After training, I manually fine-tuned some of the LoRA layers to make images look more realistic, improve small details, and reduce safety refusals. In most cases, it works without any extra bypass nodes, but depending on your prompt, you may still see an occasional safety trigger. Training Dataset This LoRA was trained on 4,061 carefully selected images taken with DSLR cameras, mirrorless cameras, and smartphones. The dataset includes many different styles and subjects, including: *Realism * Horror * Cosplay * Close-up skin details * Dynamic and difficult poses * Graphic posters * Many other image styles As part of this training, I also created a special dataset of around 100 RAW camera images. Each image was manually color graded using different cinematic 3D LUTs, then individually captioned to describe the specific color grading and look. This helped teach the LoRA different cinematic color styles and improved its understanding of color, mood, and lighting. Recommended Settings Trigger Word: None Strength (used on its own): 0.8–1.0 Strength (mixed with character LoRAs): 0.3–0.5 to help keep character identity clean and reduce concept bleeding. Workflow: Training Information Dataset: 4,061 images Resolution: 1024 Network Rank: 128 Note: Sample images were generated using the full-precision FP32 version of the LoRA. A BF16 version is also included, some example prompts were taken from for testing.

SHA256

B402759346B45F78A3FF83FB41F40E3B48DAE41482CE6A420462B38B62C52D73

ModelTrends.ai model-ID

#26835