output_file string | file_size_bytes int64 | file_size_mb float64 | sha256 string | png_signature_valid bool | image_info dict | image_open_ok bool | image_verify_ok bool | image_load_ok bool | dimension_check dict | recorded_filename_match bool | recorded_filenames list | parameter_checks dict | model_checks dict | baseline_generation_pass bool | integrity_pass bool | benchmark_started bool |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
/content/ComfyUI/output/ZOYA_PHASE0_BASELINE_00001_.png | 1,326,848 | 1.265381 | 983e86579609ad66604b2a153d73302e2164881f46eb3673985cebd891e9a5eb | true | {
"format": "PNG",
"mode": "RGB",
"width": 1024,
"height": 1024,
"bands": [
"R",
"G",
"B"
],
"frames": 1
} | true | true | true | {
"expected": [
1024,
1024
],
"actual": [
1024,
1024
],
"match": true
} | true | [
"ZOYA_PHASE0_BASELINE_00001_.png"
] | {
"seed": {
"expected": 169887354867181,
"actual": 169887354867181,
"match": true
},
"steps": {
"expected": 8,
"actual": 8,
"match": true
},
"cfg": {
"expected": 1,
"actual": 1,
"match": true
},
"sampler": {
"expected": "euler",
"actual": "euler",
"match": t... | {
"unet": {
"expected": "z-image-turbo-iq4_nl.gguf",
"actual": "z-image-turbo-iq4_nl.gguf",
"match": true
},
"text": {
"expected": "qwen3_4b_f32-iq4_nl.gguf",
"actual": "qwen3_4b_f32-iq4_nl.gguf",
"match": true
},
"vae": {
"expected": "pig_flux_vae_fp32-f16.gguf",
"actual": "pi... | true | true | false |
ZOYA IMAGE-1 — Reproducible GGUF Experiments
Purpose
This dataset stores reproducible ZOYA IMAGE-1 image-generation experiments together with the exact generation parameters, model identities, SHA256 fingerprints, and validation reports.
The package is designed for controlled comparisons where the tested variable is changed explicitly and all other relevant variables remain fixed.
Current baseline
Experiment ID: ZOYA_PHASE0_BASELINE_00001
Exact model components
| Component | File |
|---|---|
| UNet / image generator | z-image-turbo-iq4_nl.gguf |
| Text encoder | qwen3_4b_f32-iq4_nl.gguf |
| VAE | pig_flux_vae_fp32-f16.gguf |
Exact generation configuration
| Parameter | Value |
|---|---|
| Seed | 169887354867181 |
| Width | 1024 |
| Height | 1024 |
| Orientation | square |
| Steps | 8 |
| CFG | 1.0 |
| Sampler | euler |
| Scheduler | simple |
| Denoise | 1.0 |
| Text encoder type | lumina2 |
Prompt
cute anime style girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress and a white apron, it is a postcard held by a hand in front of a beautiful realistic city at sunset and there is cursive writing that says "ZImage, Now in GGUF"
Negative prompt
(empty)
Baseline image
images/ZOYA_PHASE0_BASELINE_00001_.png
Image SHA256:
983e86579609ad66604b2a153d73302e2164881f46eb3673985cebd891e9a5eb
The baseline output was independently validated for:
- PNG signature
- image decoding
- pixel loading
- dimensions
- model identity
- prompt/settings consistency
Fair comparison policy
For a controlled comparison:
- Prompt must remain identical.
- Negative prompt must remain identical.
- Seed must remain identical.
- Resolution must remain identical.
- Model identity must remain explicitly recorded.
- Model SHA256 values must remain explicitly recorded.
- Generation settings must remain identical unless that setting is the variable under test.
Only the explicitly tested variable should change.
Resolution / orientation policy
The planned collection should be majority landscape-oriented.
Square and portrait images are permitted for controlled diversity, but every record must explicitly store:
- width
- height
- orientation
- aspect ratio
Resolution is therefore never implicit.
Model integrity
Model SHA256 values are stored in:
metadata/experiment_manifest.json
and
metadata/experiment_manifest.csv
Reproducibility artifacts
The repository contains:
images/— generated image artifactsimage_metadata.csv— canonical tabular recordsimage_metadata.jsonl— line-oriented machine-readable recordsmetadata/experiment_manifest.json— complete experiment manifestmetadata/experiment_manifest.csv— tabular experiment manifestmetadata/baseline_visual_fingerprints.json— baseline visual fingerprintmetadata/dataset_card_notes.txt— experiment notesmetadata/cell48_first_baseline_generation.json— generation reportmetadata/cell49_baseline_output_validation.json— integrity reportdataset_schema.json— dataset field contract
Status
The current repository contains the validated Phase-0 baseline record.
Benchmarking has not been claimed from the baseline alone.
Additional experiments should preserve the same provenance and fair-comparison rules.
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