Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowTypeError
Message: ("Expected bytes, got a 'list' object", 'Conversion failed for column fal-ai/ultrashape with type object')
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables
pa_table = paj.read_json(
^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
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 181, in _generate_tables
pa_table = pa.Table.from_pandas(df, preserve_index=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 4795, in pyarrow.lib.Table.from_pandas
File "/usr/local/lib/python3.12/site-packages/pyarrow/pandas_compat.py", line 637, in dataframe_to_arrays
arrays = [convert_column(c, f)
^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/pandas_compat.py", line 625, in convert_column
raise e
File "/usr/local/lib/python3.12/site-packages/pyarrow/pandas_compat.py", line 619, in convert_column
result = pa.array(col, type=type_, from_pandas=True, safe=safe)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/array.pxi", line 365, in pyarrow.lib.array
File "pyarrow/array.pxi", line 91, in pyarrow.lib._ndarray_to_array
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: ("Expected bytes, got a 'list' object", 'Conversion failed for column fal-ai/ultrashape with type object')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.
fal.ai Model Database
Complete catalog of 1,094 AI models from fal.ai with pricing, categories, and API documentation links.
Why This Dataset?
fal.ai hosts 1,094+ AI models across 25 categories, but there's no easy way to browse, compare, or search them programmatically. This dataset solves that.
Quick Stats
| Metric | Value |
|---|---|
| Total Models | 1,094 |
| Categories | 25 |
| Last Updated | January 2025 |
| Crawl Time | ~5 seconds |
Top Categories
| Category | Count |
|---|---|
| text-to-image | 386 |
| image-to-image | 217 |
| text-to-video | 78 |
| image-to-video | 72 |
| training | 61 |
| vision | 55 |
Data Fields
{
"model_id": "fal-ai/flux/dev",
"title": "FLUX.1 [dev]",
"category": "text-to-image",
"description": "FLUX.1 [dev] is a 12 billion parameter flow transformer...",
"api_docs": "https://fal.ai/models/fal-ai/flux/dev/api",
"pricing": "$0.025 per megapixel",
"tags": ["text-to-image", "flux"]
}
Usage
Python
import json
from datasets import load_dataset
# Load from Hugging Face
ds = load_dataset("PHY041/fal-ai-models")
# Or load JSON directly
with open("data/fal_models.json") as f:
models = json.load(f)
# Search for video generation models
video_models = [m for m in models.values() if "video" in m.get("category", "")]
With the Crawler (Fresh Data)
# Clone the companion repo for the crawler
# https://github.com/PHY041/fal-ai-model-database
from fal_models import refresh_models, search
# Re-crawl fal.ai for latest models
refresh_models()
# Search
results = search("flux")
Companion Resources
- GitHub (Data + Crawler): PHY041/fal-ai-model-database
- GitHub (MCP Server): PHY041/fal-ai-mcp-server - For Claude/AI assistant integration
- fal.ai: fal.ai/models - Official model gallery
How It Was Built
Instead of scraping HTML, we discovered fal.ai's internal API:
https://fal.ai/api/models?limit=500&categories={category}
Query all 25 categories = 1,094 unique models in ~5 seconds.
License
MIT - Use freely, attribution appreciated.
Citation
@misc{fal-ai-models-2025,
author = {Haoyang Pang},
title = {fal.ai Model Database},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/PHY041/fal-ai-models}
}
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