Not my model!
https://civitai.com/models/2088956/famegrid-qwen?modelVersionId=2453097
FameGrid for Qwen-Image
Fine-tuned on a meticulously curated dataset of modern social-media influencer photography. This LoRA wasn’t slapped together — it took weeks of curation, iteration, and a painful amount of server burn to get natural skin, modern lighting, and clean composition to land consistently.
🆕 1.5 Latest Updates
New Trigger Word:
rlskn
Use this trigger along with the default one "IGMODEL" to unlock more realistic skin textures, natural imperfections, and average-looking subjects. Perfect for authentic lifestyle content or grounded social media aesthetics.
New UltraMuse Discord
We’re building the most vibrant creator hub around — workflows, free resources, tutorials, and experiments drop there.
Important Notes
Start your prompts with something like:
“iPhone photo of an IGMODEL woman with rlskn (detailed skin:1.3) …”
Additional guidance:
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Use
rlsknfor realism, texture, and believable skin -
Lower CFG = more realism
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Higher CFG = more sharpness, but can reduce naturalness
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Match CFG and LoRA weight:
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Low CFG → low weights
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High CFG → higher weights
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This model loves long, descriptive prompts — 800+ characters is ideal
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If your outputs aren’t realistic enough, boost LoRA strength
Who Is This For?
FameGrid was trained on imagery emphasizing:
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Natural, confident posing
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Clean, modern composition
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Soft but controlled lighting
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Professional yet relatable social media aesthetics
Ideal for:
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Lifestyle & influencer-style photography
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Product shots with human context
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Virtual character creation
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Social media content generation at scale
Trigger Words
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IGMODEL — The main trigger for influencer-style realism
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rlskn — Enhanced skin texture and natural appearance
Recommended Settings (Qwen-Image)
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Model Flow: 2
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Sampler: res 2s
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Scheduler: simple
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CFG: 1–4 (1 recommended)
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LoRA Weight: 1.0–2.0 (1 recommended; increase if realism drops)
FameGrid Qwen Checkpoint (Coming Soon)
Full checkpoint will be released on CivitAI once training completes.
🧪 Behind the Scenes — The Training Gauntlet
Here’s the part most creators won’t tell you: FameGrid didn’t come together cleanly. It was a brutal training cycle — models collapsing, overfitting, underfitting, and entire runs being trashed because one stylistic artifact ruined the whole aesthetic.
I destroyed more models than I kept. I restarted pipelines over and over. Re-curated images, rebuilt datasets, reran experiments that burned through cloud credits like they were free. It was expensive and punishing — but that’s the price of chasing realism without slipping into uncanny, plastic, or over-processed territory.
Every iteration forced a decision: throw it out or settle?
I never settled.
The final result is a LoRA that feels natural, modern, and clean — the kind of influencer photography that actually passes in real social-media environments.
Was it worth it?
Yeah. Absolutely.
🛠 Additional Notes & Upcoming Tools
FameGrid is highly sensitive to prompt structure, phrasing, and stylistic cues. Tiny prompt differences can create massive outcome changes — that’s part of why the realism is so strong, but it also means casual prompting won’t unlock its full potential.
To solve that, we built:
• FameGrid Prompt Crafter
A tool that automatically generates optimized prompts tailored to the model’s strengths.
• FameGrid Prompt Expander
Takes short prompts and expands them into long-form descriptions that match the model’s ideal prompt length and composition.
Both will be released in the UltraMuse Discord within the next few days.