Downloads · 30 days
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8% of all-time downloads
JunkieMonkey69/AstridBergesFrisbey_ZimageTurbo
AstridBergesFrisbey_ZimageTurbo is a text-to-image model from JunkieMonkey69. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.
Downloads · 30 days
17
8% of all-time downloads
All-time downloads
214
Public
Repo size
186 MB
Likes
3
Public
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.safetensors170 MB · 92%
From the Hugging Face model README
🧩 LoRA Name: Astrid_ZimageTurbo
> Base Model: Tongyi-MAI / Z-Image-Turbo > LoRA Type: Character / Actress > Trigger Word(s): Astrid > Recommended Weight: 0.6 – 1.0 (ideal range ≈ 0.8–0.9)
✨ Overview
> This LoRA is trained to capture the distinctive identity, facial structure, and ethereal presence of Astrid Bergès-Frisbey, optimized specifically for Z-Image-Turbo. The model emphasizes likeness fidelity, subtle sensuality, and editorial realism, with a strong bias toward cinematic, European, and high-fashion aesthetics.
It excels at portraying Astrid’s delicate bone structure, intense gaze, and understated elegance across studio editorials, natural-light urban scenes, luxury interiors, and intimate portrait compositions.
🎨 What This LoRA Is Good At
> High likeness accuracy with preserved facial geometry > Moody, cinematic, and editorial portraiture > Natural skin texture with realistic micro-detail > European fashion and lifestyle aesthetics > Strong performance in low-key lighting, chiaroscuro, and soft daylight > Portrait, half-body, and mirror-selfie compositions
⚙️ Usage Notes
> Use the trigger word “Astrid” once in the prompt > Avoid stacking other character LoRAs to preserve identity fidelity > Performs best with realistic lenses (50–85mm) and fashion/editorial lighting > Guidance scale ≤ 1 recommended for native Z-Image-Turbo behavior > Responds well to detailed wardrobe, makeup, and lighting descriptions
🧪 Example Prompt Astrid, cinematic editorial portrait, soft smokey eyes, natural skin texture, low-key studio lighting, European fashion aesthetic, ultra-realistic
📐 Training Details
> Dataset: Captioned image dataset > Training Resolutions: 512 / 768 > Total Steps: 3,500 > Batch Size: 1 > Content vs Style: Balanced > Noise Scheduler: FlowMatch > Optimizer: AdamW 8-bit > Learning Rate: 1e-4 > Precision: BF16 > Text Encoder Training: Disabled > UNet Training: Enabled > Quantization: QFloat8 (model + text encoder) > Architecture: ZImage Turbo LoRA (LoKR full-rank enabled)
⚠️ Limitations / Notes
> Not designed for anime or heavily stylized/cartoon outputs > Extreme facial exaggeration or ultra-wide lenses may reduce likeness > Best results achieved when paired with realistic photography prompts
You should use Astrid to trigger the image generation.
Download them in the Files & versions tab.