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Jan 6, 2026
I'm not sure about my prompting for the images. I edited the FLUX dataset's prompts, but I'm not sure it was really done well. We'll see 😬

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Apache 2.0This was trained on Sabu's recent art. I tried to delineate between his monochromatic, his greyscale, and his more fully colored art, which is why I put three trigger phrases.
Training params for version 3: { "lr": 0.00015, "engine": "ai-toolkit", "epochs": 30, "ecosystem": "zimageturbo", "keepTokens": 0, "networkDim": 32, "numRepeats": 8, "resolution": 1024, "lrScheduler": "constant", "minSnrGamma": null, "noiseOffset": null, "networkAlpha": 32, "optimizerType": "adamw8bit", "shuffleTokens": false, "textEncoderLr": null, "flipAugmentation": false, "trainTextEncoder": false }
I had real trouble getting a lora of the same quality as the version 2. I'm trying to understand what makes a good style lora, and the default settings really made terrible loras. So I kept fiddling with the learning rate, the number of repeats, but I still feel like I'm shooting in the dark :/

