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masternihilus95
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upscale-engine-cc

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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ValueError
Message:      Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/masternihilus95/upscale-engine-cc@25f0e607a81df99d92587da2e3697d74ba7db042/models/workflow/MakeItReal_HiresFix.json.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 503, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 350, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 186, in _generate_tables
                  raise ValueError(
              ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/masternihilus95/upscale-engine-cc@25f0e607a81df99d92587da2e3697d74ba7db042/models/workflow/MakeItReal_HiresFix.json.

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title: Upscale Engine CC Models emoji: 🖼️ colorFrom: blue colorTo: indigo sdk: static pinned: false

Upscale Engine CC Models Collection

This repository contains the model dependencies for Upscale Engine CC. These models are required for the local AI inference backend to function, enabling features like 4x Upscaling, Face Enhancement, and "Make It Real" (Anime to Real) transformations.

📂 Model Manifest

The following models are included in this collection. Please place them in your models/ directory structure as described below.

🔹 Checkpoints (Base Models)

🔹 LoRAs (Style & Detail)

🔹 ControlNets (Structure & Depth)

🔹 Upscalers & Enhancement

  • RealESRGAN x4plus - Standard 4x Universal Upscaler
  • SwinIR-L 4x - High-Fidelity 4x Upscaler
  • 4x-UltraSharp - Sharpness-focused Upscaler
  • GFPGAN v1.4 - Face Restoration & Enhancement

🛠️ Usage

Download all files and organize them into your project's models folder following this structure:

models/
├── checkpoints/
│   ├── hardcoreAsianCosplay_xlV10.safetensors
│   ├── realvisxlV50_v50Bakedvae.safetensors
│   └── analogMadnessSDXL_xl5.safetensors
│
├── loras/
│   ├── Super_Skin_Detailer_By_Stable_Yogi_SD0_V1.safetensors
│   └── sdxl_lightning_8step_lora.safetensors
│
├── controlnet/
│   ├── controlnet-union-sdxl-1.0-promax.safetensors
│   ├── diffusion_pytorch_model.safetensors (Tile)
│   └── depth_anything_v2_vitl.pth
│
└── upscale_models/
    ├── RealESRGAN_x4plus.pth
    ├── RealSR_BSRGAN_SwinIR_L.pth
    ├── 4x-UltraSharp.pth
    └── GFPGANv1.4.pth

Note: Some filenames above (like Civitai models) may vary depending on the specific version downloaded. Ensure they match the filenames expected by your model-manifest.json.
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