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@@ -22,6 +22,50 @@ license: apache-2.0
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  <Gallery />
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  ## Trigger words
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  <Gallery />
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+ ---
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+
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+ # Model description for Qwen-Image-Synthetic-Face
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+
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+ Image Processing Parameters
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+
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+ | Parameter | Value | Parameter | Value |
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+ |---------------------------|--------|---------------------------|--------|
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+ | LR Scheduler | constant | Noise Offset | 0.03 |
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+ | Optimizer | AdamW | Multires Noise Discount | 0.1 |
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+ | Network Dim | 64 | Multires Noise Iterations | 10 |
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+ | Network Alpha | 32 | Repeat & Steps | 22 & 2650 |
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+ | Epoch | 20 | Save Every N Epochs | 2 |
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+
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+ Labeling: florence2-en(natural language & English)
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+ Total Images Used for Training : 26 [HQ Images]
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+
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+ ## Best Dimensions & Inference
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+
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+ | **Dimensions** | **Aspect Ratio** | **Recommendation** |
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+ |-----------------|------------------|---------------------------|
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+ | 1472 x 1140 | 4:3 (approx.) | Best |
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+ | 1024 x 1024 | 1:1 | Default |
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+
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+ ### Inference Range
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+ - **Recommended Inference Steps:** 35-50
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+
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+ ## Setting Up
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+ ```python
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+ import torch
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+ from diffusers import DiffusionPipeline
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+
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+ base_model = "Qwen/Qwen-Image"
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+ pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
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+
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+ lora_repo = "prithivMLmods/Qwen-Image-Synthetic-Face"
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+ trigger_word = "Synthetic Face"
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+ pipe.load_lora_weights(lora_repo)
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+
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+ device = torch.device("cuda")
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+ pipe.to(device)
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+ ```
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  ## Trigger words
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