Dataset Viewer

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Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Column(/nodes/[]/widgets_values/[]) changed from string to number in row 0
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
                  batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
                  examples = [ujson_loads(line) for line in original_batch.splitlines()]
                              ~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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Check out the documentation for more information.

FLUX workflows — c0sm1c_m1a (Mia)

Generation workflows for the FLUX.1-dev LoRA line. SDXL-era workflows remain in workflows/ root (historical).

mia-flux-v1-test.json — LoRA smoke test

Minimal single-sampler graph, stock nodes only (no custom packs needed). UI-format JSON: drag-drop onto the ComfyUI canvas or Import.

Graph: CheckpointLoaderSimple → LoraLoader → CLIPTextEncode (pos) + CLIPTextEncode (neg, inert) + EmptyLatentImage → KSampler → VAEDecode → SaveImage

Pod setup — vast.ai official ComfyUI template (recommended path)

The official template supports PROVISIONING_SCRIPT (URL run on first boot). One-time setup: host the provisioning script somewhere URL-reachable — easiest: upload provision-comfyui.sh as a raw file into the comics-assets dataset (or a public GitHub gist) and copy its resolve/main/... URL.

Then create your own template (Edit the official ComfyUI template → Save As):

PROVISIONING_SCRIPT = the raw script URL
HF_TOKEN = your fine-grained read-only token (comics-assets scope only)

Launch → first boot auto-installs the comics-hf-loader custom pack (embedded in the script, no extra fetch), prefetches both LoRA checkpoints in the background, and the big fp8 base model stays a queue-time download via the workflow's HF File Download nodes (skip-if-present). Drag in mia-flux-v1-qa-all.json, Queue, done. Subsequent boots on the same instance re-run the script harmlessly — everything is skip-if-present and idempotent.

Token hygiene (unchanged): read-only, comics-assets-scoped, env var only — never in widgets (widgets leak into saved JSON + PNG metadata).

Manual fallback (no custom template)

pod-setup.sh does the same by hand. The in-workflow HFFileDownload nodes alone also work without the provisioning script — first Queue would then download the 17 GB base synchronously before rendering (slow but one-click).

Pod setup details (manual path, historical)

Custom pack — copy workflows/flux/custom_nodes/comics-hf-loader/ into ComfyUI/custom_nodes/ (scp it or bake it into your pod template). It has zero pip deps (huggingface_hub ships inside ComfyUI). Restart ComfyUI.
HF key — set env var HF_TOKEN on the pod (vast.ai/RunPod deploy env field; persists in a saved template). Use a fine-grained read-only token scoped to the comics-assets repo only. Never paste tokens into node widgets — widget values are saved into workflow JSON and PNG metadata. The public FLUX base file needs no token; only the private LoRA fetch does.
Workflow — drag mia-flux-v1-qa-all.json onto the canvas. The two HF File Download nodes fetch base + LoRA at queue time (skipped when already present), their filename outputs feed the loaders' converted widget inputs, so first Queue = download → load → render all 18.

pod-setup.sh remains as the manual/no-custom-pack fallback.

Using it

Files:

mia-flux-v1-test.json — single-prompt smoke graph (see below)
mia-flux-v1-qa-all.json — all 18 test prompts, one branch each, stock nodes only (93 nodes / 129 links, validated). One Queue = all 18; to run only some, select their branch nodes and hit Ctrl+B (bypass) — bypassed nodes gray out and their branch skips. Fixed per-branch seeds (43–60) make results reproducible; outputs land in ComfyUI/output/mia_qa/01..18.
pod-setup.sh — run once on a fresh pod (at the ComfyUI root); downloads the fp8 base + both LoRA checkpoints from HF directly.

Note: HF downloads are a pod-setup shell script, NOT in-workflow — no stock node fetches models at queue time, and we're keeping this custom-node-free.

Single graph (mia-flux-v1-test.json):

Workflow loads with prompt 1 (front portrait) from tmp/mia-flux-v1/test-prompts.md — swap in the other 17 for the full QA ladder.
KSampler: seed 42/randomize, steps 26, cfg/guidance 3.0, euler/simple, denoise 1.0. 1024x1024 (full-body prompts: 896x1152).
LoRA strength 1.0/1.0 (model/clip). Sweep 0.8 if renders overcook; do NOT set strength_clip to 0 — this LoRA trained the text encoder on purpose.
Negative prompt is deliberately empty: FLUX.1-dev ignores it. The node stays for graph compatibility.
The c0sm1c_m1a trigger is already inside the prompt text — keep it at the front when editing.

Roadmap

v2+: panel-production workflows (multi-panel batches, speech-bubble-aware inpaint chains), two-character "marrying" graphs (Mia+Mateo — see Mickmumpitz two-character workflows as reference), NSFW-merged-base variant if School B wins.
Keep every iteration in this folder; bump filename versions, never overwrite.

Pose transfer (added Sept 2026)

mia-flux-pose-transfer.json — upload any reference image, Mia renders in Manara style in EXACTLY that pose (OpenPose skeleton via comfyui_controlnet_aux + FLUX union controlnet; the controlnet is declared in ControlNetLoader.properties.models[] so the vast provisioner downloads it at boot). Strength 0.7, window 0-85%: higher obeys the pose harder but softens style.

To enable BOTH workflows at boot, set (semicolon-delimited, no spaces):

PROVISIONING_COMFYUI_WORKFLOWS=https://huggingface.co/datasets/crimsonmythos/comics-tools/resolve/main/workflows/mia-flux-v1-qa-all.json;https://huggingface.co/datasets/crimsonmythos/comics-tools/resolve/main/workflows/mia-flux-pose-transfer.json

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