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).

tests/enrich_hf_validation/baselines/readmes/prithivMLmods__Retro-Pixel-Flux-LoRA.md

@@ -0,0 +1,88 @@
+---
+tags:
+- text-to-image
+- lora
+- diffusers
+- template:diffusion-lora
+- Retro
+- Pixel
+widget:
+- text: >-
+    Retro Pixel, A pixelated image of a german shepherd dog. The dogs fur is a
+    vibrant shade of brown, with a black stripe running down its back. The
+    background is a light green, and the dogs shadow is cast on the ground.
+  output:
+    url: images/RP1.png
+- text: >-
+    Retro Pixel, A pixelated image of a man surfing on a surfboard. The mans
+    body is covered in a red shirt and blue shorts. His arms are out to the
+    sides of his body. The surfboard is a vibrant blue color. The water is a
+    light blue color with white splashes. The sun is shining on the right side
+    of the image.
+  output:
+    url: images/RP2.png
+- text: >-
+    Retro Pixel, pixel art of a Hamburger in the style of an old video game,
+    hero, pixelated 8bit, final boss 
+  output:
+    url: images/RP3.png
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: Retro Pixel
+license: creativeml-openrail-m
+---
+# Retro-Pixel-Flux-LoRA
+
+<Gallery />
+
+- Hosted Here🧨: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC
+
+**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
+
+## Model description 
+
+**prithivMLmods/Retro-Pixel-Flux-LoRA**
+
+Image Processing Parameters 
+
+| Parameter                 | Value  | Parameter                 | Value  |
+|---------------------------|--------|---------------------------|--------|
+| LR Scheduler              | constant | Noise Offset              | 0.03   |
+| Optimizer                 | AdamW  | Multires Noise Discount   | 0.1    |
+| Network Dim               | 64     | Multires Noise Iterations | 10     |
+| Network Alpha             | 32     | Repeat & Steps           | 24 & 2340|
+| Epoch                     | 15  | Save Every N Epochs       | 1      |
+
+    Labeling: florence2-en(natural language & English)
+    
+    Total Images Used for Training : 16 [ Hi-RES ]
+
+![prithivMLmods/Retro-Pixel-Flux-LoRA](images/RP4.webp)
+    
+## Best Dimensions
+
+- 1024 x 1024 (Default)
+  
+## Setting Up
+```
+import torch
+from pipelines import DiffusionPipeline
+
+base_model = "black-forest-labs/FLUX.1-dev"
+pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
+
+lora_repo = "prithivMLmods/Retro-Pixel-Flux-LoRA"
+trigger_word = "Retro Pixel"  
+pipe.load_lora_weights(lora_repo)
+
+device = torch.device("cuda")
+pipe.to(device)
+```
+## Trigger words
+
+You should use `Retro Pixel` to trigger the image generation.
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/prithivMLmods/Retro-Pixel-Flux-LoRA/tree/main) them in the Files & versions tab.