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chore(tests): commit validation dataset and baseline reports into repo
Move the HF model list from ~/Documents/ into tests/enrich_hf_validation/test_data/
and commit the pipeline validation baseline artifacts (report.json,
preprocessing_audit.json, README snapshots) into baselines/.
Update config.py and run_validation.py defaults to use repo-relative paths
via os.path.dirname(__file__) instead of ~/Documents/ hardcode.
Originates from changes in 8fb00998 (validation pipeline audit).
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---
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tags:
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- text-to-image
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- lora
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- diffusers
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- template:diffusion-lora
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widget:
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- text: 'Epic Realism, A medium-angle shot of a woman with long, wavy brown hair, a black long-sleeved t-shirt, and a black necklace around her neck. Her eyes are a piercing blue, and her lips are a lighter pink. She is standing in front of a white wall with a window on the left side of the wall. The window is slightly open, and the wall is a light gray color. The womans hair is a darker shade of brown, and she has a slight smile on her face.'
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output:
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url: images/ep1.png
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- text: 'Epic Realism, Captured in a close-up, eye-level perspective, a medium-sized young mans face is adorned with a gold necklace, adding a touch of sparkle to his outfit. His eyes are a piercing blue, and his hair is a mix of brown and black. His eyebrows are a darker shade of brown, while his lips are a lighter shade of pink. The backdrop is blurred, creating a stark contrast to the foreground.'
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output:
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url: images/ep2.png
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- text: 'Epic Realism, A close-up shot of a young woman with long brown hair and blue eyes. She is wearing a red and white cheerleading uniform. The uniform has a white stripe down the center of the uniform. Her hair is pulled back and cascades over her shoulders. Her eyes are a piercing blue. Her lips are painted a light pink color. Her eyebrows are a darker shade of brown. Her nose is a lighter shade of blue. The background is blurred, but it is out of focus.'
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output:
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url: images/ep3.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: Epic Realism
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license: creativeml-openrail-m
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---
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# Ton618-Epic-Realism-Flux-LoRA
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<Gallery />
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**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
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## Model description
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**prithivMLmods/Ton618-Epic-Realism-Flux-LoRA**
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Image Processing Parameters
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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 | 25 & 3000|
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| Epoch | 15 | Save Every N Epochs | 1 |
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Labeling: florence2-en(natural language & English)
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Total Images Used for Training : 22 [ Hi-RES ]
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## Best Dimensions
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- 1024 x 1024 (Default)
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## Setting Up
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```
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import torch
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from pipelines import DiffusionPipeline
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base_model = "black-forest-labs/FLUX.1-dev"
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pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
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lora_repo = "prithivMLmods/Ton618-Epic-Realism-Flux-LoRA"
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trigger_word = "Epic Realism"
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pipe.load_lora_weights(lora_repo)
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device = torch.device("cuda")
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pipe.to(device)
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```
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## Data source
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- https://playground.com/
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## Trigger words
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You should use `Epic Realism` to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/prithivMLmods/Ton618-Epic-Realism-Flux-LoRA/tree/main) them in the Files & versions tab.
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