Virtual Japanese Woman YUMEKA β Qwen-V1
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Model description
πΈ Virtual Japanese Woman YUMEKA β Qwen Edition (v1.0)
Virtual Japanese Woman YUMEKA β Qwen Edition (v1.0)
Trained on 1024x1536 images to reproduce a photorealistic Japanese woman style named YUMEKA.
Not a glamorous idol, but rather the vibe of a βbeautiful lady you might see in everyday Japan.β
πΉ Trigger word: "yumeka" (most likely works even without trigger)
πΉ Recommended weight: 0.7 β 1.0
β οΈ This character is fictional and does not exist in reality.
β οΈ Facial appearance may vary depending on other LoRAs or workflows used.
β οΈ Highly prompt-dependent: please refine features (bangs, blush, lip gloss, gaze, angle, expressions) via prompt.
π’ Tested on Qwen with good results, though still in the testing phase β generation may fail at times.
π§ Workflow Node Example (Sampler settings)
π The sample images were generated using two different samplers: some with res_2s_ode, others with exponential/res_2s (ClownsharkKSampler).
Results may vary slightly depending on which sampler is used.
ClownsharkKSampler example settings:
sampler_name: exponential/res_2s
scheduler: bong_tangent
steps: 8 (if unstable, try 10β12)
steps_to_run: -1
denoise: 1.00
cfg: 1.00
eta: 0.50
seed: randomize (example: 1046916965579049)
sampler_mode: standard
bongmath: true
π’ In my case: Sampler = res_2s_ode, Scheduler = bong_tangent, Steps = 12 β higher chance of stable results. Please adjust within 8β12 steps.
β οΈ Euler, Simple, or strict 8-step settings may cause collapse (at least in my ComfyUI βnunchakuβ build, reason unknown).
π Workflow settings are embedded in the sample images for reference.
β Redistribution or selling of this LoRA file itself is prohibited.
π Additional note (for reference only)
I sometimes test by writing prompts in Japanese or English and then using a translation node to convert them into Chinese (commonly used by Alibabaβs models). This is just an experiment.
For everyone else, writing prompts in English as usual is perfectly fine.






