Audit and prepare
Inventory images and metadata, identify gaps and duplicates, confirm permitted use, normalize labels, and define an approved training subset.
/01 · Executive summary
A handbag concept tool grounded in HB Connections' product knowledge.
The opportunity
HB Connections has a database of handbag products and the industry language used to describe construction, silhouette, materials, hardware, and styling. That knowledge can become a reusable creative input instead of remaining scattered across product records and individual expertise.
The proposed system
Webisoft will prepare the approved data, structure the vocabulary, train a LoRA adapter against a suitable image generation base model, and package the result into a controlled concept generation workflow.
The first decision gate
The data audit confirms dataset quality, image and metadata coverage, usage rights, desired output controls, and the practical training path before model training begins.
The outcome
HB Connections receives a working path from handbag terminology to generated visual concepts, plus the training artifacts, evaluation results, and documentation required to operate or extend it.
/02 · Objective
Translate handbag vocabulary into visual design direction.
The generator should understand HB Connections' preferred terms and combinations, then produce concepts that can be evaluated by its creative and product teams. The goal is not generic fashion imagery. It is a controlled ideation tool that reflects HB Connections' own product data and working language.
The engagement succeeds when:
- HB Connections approves the vocabulary taxonomy and training dataset inventory.
- The trained LoRA responds consistently to an agreed set of handbag attributes and terminology.
- Authorized users can enter structured prompts and generate handbag concepts through a usable interface.
- Evaluation findings, known limitations, model files, and operating documentation are delivered for handoff.
/03 · Approach
Start with the data, then train the model.
A LoRA can teach a base image model a specialized visual language without rebuilding a model from scratch. The quality of the result depends on the source images, labels, rights, consistency, and the prompts HB Connections expects to use. We therefore make the dataset and vocabulary audit the first approval gate.
Build the taxonomy
Map HB Connections' terminology into promptable attributes covering product type, silhouette, construction, material, hardware, colour, finish, and styling.
Train and evaluate
Select a suitable licensed base model, train the LoRA, compare checkpoints against agreed prompts, and document the limits of the resulting model.
Package the workflow
Expose the approved vocabulary through a simple generation interface with prompt controls, output review, and a reproducible inference setup.
HB product database
Images · metadata
Curated dataset
Labels · rights · quality
LoRA training
Vocabulary · visual patterns
Generator
Prompts · concepts
/04 · Scope and deliverables
What Webisoft will deliver.
| Workstream | Deliverable | Accepted when |
|---|---|---|
| Discovery | Data inventory, rights questions, technical recommendation, delivery backlog | HB Connections receives the written findings and approves the implementation direction |
| Vocabulary | Handbag attribute taxonomy and captioning rules | HB Connections confirms the terminology reflects how its team describes products |
| Dataset | Curated training set and reproducible preparation pipeline | The approved source subset can be rebuilt from documented steps |
| Model | Trained LoRA checkpoint, inference configuration, and evaluation report | The model completes the agreed evaluation prompt set and known limitations are documented |
| Interface | Prompt based handbag concept generator | An authorized user can select or enter approved terminology and generate reviewable outputs |
| Handoff | Model artifacts, source code, setup instructions, and operating guide | HB Connections receives the deliverables in an agreed repository and storage location |
Assumptions
- HB Connections provides lawful access to the intended image and metadata sources.
- HB Connections identifies a product expert to validate vocabulary and generated results.
- The base model, hosting path, and security controls are selected after the data audit.
- Training uses only data approved for this engagement.
Not included in this proposal
- Legal opinion on image, trademark, design, or model training rights.
- A production ecommerce, product lifecycle, or digital asset management platform.
- Three dimensional asset generation or manufacturing ready technical packs.
- Ongoing retraining, hosting, model usage fees, or third party subscriptions.
/05 · Evaluation
Quality is reviewed against HB Connections' own criteria.
Vocabulary response
Does the model reflect the requested handbag terms and attribute combinations?
Visual coherence
Are silhouette, construction, material, hardware, and styling mutually consistent?
Design usefulness
Are the outputs useful for internal concept exploration and creative discussion?
Repeatability
Can approved prompts and settings be rerun and compared across model versions?
Data fidelity
Does the model learn the desired domain without reproducing source images as catalog copies?
Operational fit
Can the intended users generate, review, and save concepts within the agreed environment?
/06 · Delivery sequence
Approval gates before training and productization.
Gate A
Data and rights audit
Confirm source access, image and metadata quality, permitted use, vocabulary sources, and deployment constraints.
Gate B
Taxonomy and dataset approval
Prepare the vocabulary map, captioning rules, training subset, and evaluation prompt set for HB Connections' review.
Gate C
LoRA training and evaluation
Train, compare, and document candidate checkpoints against the agreed review criteria.
Gate D
Generator and handoff
Package the selected model into the agreed interface, complete documentation, and hand over the artifacts.
Calendar duration will be confirmed after Gate A because it depends on the quantity, quality, rights status, and structure of the supplied data.
/07 · Investment
A complete LoRA handbag generator engagement.
HB Connections LoRA handbag generator
Data audit, vocabulary taxonomy, dataset preparation, LoRA training, evaluation, generator interface, documentation, and handoff.
CAD $25,000
- The investment covers the workstreams and deliverables defined in this proposal.
- Third party hosting, model usage, cloud compute, and subscriptions are excluded.
- Delivery schedule and payment milestones will be documented in the statement of work before kickoff.
Approve the LoRA handbag generator engagement.
Webisoft will begin with the data and rights audit, then move through taxonomy, training, evaluation, generator delivery, and handoff.