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Open-weight model · Text to image

Emma_Vaganova

by Nzonzi Mambou obann001/Emma_Vaganova

LoRA Flux.1-dev pour le personnage Emma Vaganova, entraînée avec le token 3mm@. Téléchargement: onglet Files and versions de ce dépôt. Utiliser 3mm@ dans le prompt (souvent en fin de phrase: Style of 3mm@).

Parameters
Context
Weights995.9 MB
Licenseopenrail
AccessOpen weights
Monthly Downloads44

Model Card

By Nzonzi Mambou, published under openrail, revision f2a733257cfe.

LoRA Flux.1-dev pour le personnage Emma Vaganova, entraînée avec le token 3mm@. Téléchargement: onglet Files and versions de ce dépôt. Utiliser 3mm@ dans le prompt (souvent en fin de phrase: Style of 3mm@). - Résolution: 896×1024 ou buckets proches (aligné sur l’entraînement multi-résolution). Les dossiers d’état d’entraînement (-state/) ne sont pas publiés ici pour l’instant: reprise Comfy = usage local uniquement. Personnage fictif inspiré de références photo; usage responsable et conforme aux conditions FLUX / OpenRAIL. Voir MODELCARD.md (steps, reprise, hyperparamètres, SHA256, limites connues).

Read Nzonzi Mambou's full model card

Emma Vaganova — Flux LoRA (rank 32)

LoRA Flux.1-dev pour le personnage Emma Vaganova, entraînée avec le token 3mm@.

Fichier principal (inférence)

Fichier Description
flux_file_emma_32network128_rank32_bf16.safetensors Poids LoRA actuels — voir Model card

Téléchargement : onglet Files and versions de ce dépôt.

Trigger word

Utiliser 3mm@ dans le prompt (souvent en fin de phrase : Style of 3mm@).

Usage rapide (ComfyUI)

  • Base : FLUX.1-dev (ex. flux1-dev-fp8.safetensors si vous entraînez en fp8).
  • LoRA : charger flux_file_emma_32network128_rank32_bf16.safetensors.
  • Résolution : 896×1024 ou buckets proches (aligné sur l’entraînement multi-résolution).

Historique des versions sur le Hub

Emplacement Contenu
Racine LoRA rank 32 — reprise step 1500 + 50 steps (objectif global 1550), run du 2026-09-16
archives/ Ancien export rank 72 (flux_file_emma_72network128_rank72_bf16.safetensors) — ne pas confondre avec le rank 32 actuel ; pas d’équivalence garantie avec un dossier *-state local

Les dossiers d’état d’entraînement (*-state/) ne sont pas publiés ici pour l’instant : reprise Comfy = usage local uniquement.

Modèle

Personnage fictif inspiré de références photo ; usage responsable et conforme aux conditions FLUX / OpenRAIL.

Détails techniques

Voir MODEL_CARD.md (steps, reprise, hyperparamètres, SHA256, limites connues).

Identity and Version

Repository
obann001/Emma_Vaganova
Publisher
Nzonzi Mambou
Task
Text to image
Modality
Image
Library
diffusers
Parameters
Not stated by the source
Languages
en, fr
Revision
f2a733257cfebeae5f30bcd6b00fe12569410d14
First published
2026-09-12
Last updated
2026-09-18

Files and Weights

7 files, 1.3 GB in total. The weights are 2 files totalling 995.9 MB in safetensors.

Weights2 files · 995.9 MB
Documentation2 files · 5.2 KB
Other2 files · 306.7 MB
Repository1 file · 1.7 KB
Every file
FileTypeSizeSHA-256
archives/flux_file_emma_72network128_rank72_bf16.safetensorsWeights689.4 MB bc2645ceb3a6
flux_file_emma_32network128_rank32_bf16-step00300.safetensorsWeights306.5 MB 1869e25352ec
MODEL_CARD.mdDocumentation2.6 KB
README.mdDocumentation2.6 KB
flux_file_emma_32network128_rank32_bf16.safetensors_tmp_savedOther306.5 MB 791dba36b8d7
images/example_a1t4vrjl4.pngOther198.2 KB 87cb64cfed88
.gitattributesRepository1.7 KB

License and Download

License
openrail
Access
Open weights, no gate
Download size
995.9 MB
Download from Nzonzi Mambou

Released by Nzonzi Mambou through its official repository on Hugging Face. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
As published995.9 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About Emma_Vaganova

Can I use Emma_Vaganova commercially?

Yes, with conditions. Emma_Vaganova is released under Open RAIL License. Open RAIL licenses permit use, including commercial use, subject to the use-based restrictions listed in the license, which must be passed on to anyone who receives the model or a derivative.

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