Create README.md
Browse files📊 Training Info
Epochs: 16
Training Steps: 2,960 total (185 steps per epoch × 16 epochs)
Batch Size: 1 image per step (185 images per epoch after repeats)
Clip Skip: Default (no skipping, uses all CLIP layers)
Min SNR Gamma: 5
Loss Type: L2
LoRA Rank (Dim): 16
Alpha: 1
🎚 Recommended Strength Settings
Min Strength: 0.6 (subtle style influence)
Max Strength: 1.0 (strong comic-style effect)
Default Sweet Spot: 0.75 (balanced detail & style retention)
README.md
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---
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base_model:
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- black-forest-labs/FLUX.1-Krea-dev
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tags:
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- lora
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---
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Comic-Style LoRA for FLUX.1-dev (c0m4i4)
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Base Model: FLUX.1-dev
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Type: LoRA (Flux Architecture)
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Trigger Word: c0m4i4
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This LoRA brings a clean, bold comic-style aesthetic to your Flux generations. Trained on 37 high-resolution images at 1024px, it captures strong linework, vibrant color blocking, and stylized shading—perfect for portraits, character art, and vivid scene work.
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The model was trained for 16 epochs using Flux’s fp8 mixed-precision setup, with LoRA rank 16 for a balance between quality and file size. It adapts well to a variety of prompts, retaining the core comic feel while allowing for subject and scene diversity.
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Recommended Use:
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Resolution: 768–1024
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Sampler: Flow/Euler (Flux schedulers)
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Steps: 24 (20–28 works well)
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Guidance (CFG): 1.0
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LoRA Strength: 0.75 (UNet) / 0.6 (Text Encoder)
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Negative Prompt: low quality, artifacts, watermark
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Example Prompts:
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c0m4i4 as president, bold lines, vibrant shadows, comic illustration
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c0m4i4 in a black shirt standing in front of a stained glass window, glowing details, clean lines
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c0m4i4 playing a guitar, warm tones, sharp ink outlines
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Training Details:
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Dataset: 37 images × 5 repeats (185 samples per epoch)
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Network: LoRA rank 16, alpha 1
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Loss: L2 with min_snr_gamma=5 and noise_offset=0.1
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Text Encoders: CLIP-L + T5-XXL (mixed bf16/fp8)
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This LoRA is designed for artists and creators who want a consistent, high-quality comic style without sacrificing detail or prompt flexibility.
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