案件プラン · 検証待ち
Qwen-Image LoRA 学習環境レンタル
Your product. Your character. A reusable visual language.
商品、ブランドのスタイル、オリジナルキャラクター向けの Qwen-Image LoRA 学習環境をレンタル。開始前に正確なモデル版、許可されたデータセット、GPU、書き出し計画を確認します。
Free assessment · configuration and rental term quoted per project
Rent the environment. Define the help you need.
A LoRA adapts a compatible base model toward your subject or style. Its value depends on the dataset, settings and output checks you agree.
セルフサービス環境
Rent the agreed GPU, image and storage. You upload authorized data, set parameters, run training, inspect logs and export your files.
You operate and review the training.任意の学習支援
Dataset cleaning, captions, parameter tuning, training execution, sample review and reruns are separate work. Name the executor, outputs and included rounds in the quote.
Assistance is included only when agreed.Qwen-Image or Qwen-Image-Edit?
Start with the task: subject or style generation, or a defined image-editing operation. Confirm the exact base-model release, trainer and target inference tool together; adapter compatibility is version-specific. Editing datasets may need paired source and target images and edit instructions for the selected recipe.
Make a visual asset you can build on.
Five starting points for a useful training brief. These AI-made illustrations explain applications; they are not outputs from this rental environment or client case studies.
E-commerce product imagery
Explore repeatable product presentation across a campaign while keeping the product brief consistent.
- 準備する情報
- Supply authorized product photos, key details, intended marketplaces and a small set of approved compositions.
- 成果の確認
- Review shape, color, packaging and label accuracy on reserved prompts; retouching and marketplace compliance need their own checks.
Brand style and campaign visuals
Develop a visual direction that can be tested across seasonal layouts, backgrounds and campaign formats.
- 準備する情報
- Supply a permitted brand style guide, palette, approved references and the channels where the output will appear.
- 成果の確認
- Compare palette, materials, composition and style consistency with the approved sample; logos and final layout receive manual review.
Original characters and IP
Test how an original character carries across scenes, poses and supporting campaign assets.
- 準備する情報
- Supply character sheets you own or may train on, distinctive features, allowed variations and intended commercial uses.
- 成果の確認
- Check key character features, clothing and visual identity across held-out scenes; no universal character-consistency score is promised.
Authorized portrait concepts
Explore portrait concepts for a consenting person within an agreed use, audience and retention period.
- 準備する情報
- Confirm the person’s explicit permission for model training and image use, dataset access, output channels and deletion plan.
- 成果の確認
- Approve identity resemblance, intended styling and permitted use against the agreed sample; consent and access are checked before uploading photos.
Chinese marketing and poster concepts
Prototype campaign scenes and Chinese copy treatments for posters, social cards and product launches.
- 準備する情報
- Supply authorized visual references, final Chinese copy, layout needs, target dimensions and the required review process.
- 成果の確認
- Manually proofread every Chinese character, number and claim, then check brand layout and export size before publication.
See the environment before you plan.
Original images from the linked Xiangongyun listing show the cover, configuration and training monitor. They document the source listing, not current stock, a completed Chuzu training job or a guaranteed result.
What these references confirm
- The supplier listing identifies the proposed image. Current availability, installed model version, interface and full charges require provider confirmation.
- diffusion-pipe documents Qwen-Image and Qwen-Image-Edit support upstream. This does not certify that a particular rental image includes either workflow.
- The official Qwen-Image documentation distinguishes generation and editing releases. Match the exact base model and licence to the intended task.
A clear path through training.
Agree a small trial and a spending limit before a longer run. Dataset size and training time are assessed for the chosen model and hardware.
- 01
Define the training task
Choose product, style, character or authorized portrait training. Confirm generation versus editing and the exact model version.
- 02
Verify the rented environment
Confirm the installed model and image version, inference compatibility, GPU memory, storage, full billing terms and access window with the provider.
- 03
Prepare authorized images and captions
Review permissions, remove unsuitable images, pair captions with the correct files and reserve test prompts or images. Agree any paid preparation work separately.
- 04
Run a limited pilot
The customer runs the self-service session, or a separately named executor performs the agreed work. Check a small run before approving more usage.
- 05
Train and compare samples
Run only within the approved scope and spending cap. Compare saved samples on reserved prompts, record settings and decide whether to stop, continue or separately scope a rerun.
- 06
Validate, export and close
Compare reserved prompts with the approved sample, export agreed files and record retention, access closure and final usage.
Keep more than a weight file.
Save the LoRA checkpoint with the exact base model, trainer version, configuration, trigger words, inference settings and test prompts. Agree sample files, logs, retention and deletion before the rental ends.
Prepare useful training material
- Training goal, reference output and the exact Qwen-Image or separately confirmed Qwen-Image-Edit version.
- Image count, resolution, captions, dataset size and evidence of image, brand, character or portrait permission.
- GPU or memory requirement, session window, allowed processing countries, storage, export destination and budget cap.
Configuration first. An itemized quote next.
The source listing shows ¥0.20/hour for the image alone, checked 20 October 2026. This is not the GPU rental price or a complete training price. Confirm current rates, metering, storage after shutdown and cancellation rules before renting.
- GPU compute
- GPU model, memory, number of cards, metering unit and billed session or job usage are confirmed in the quote.
- Training image or application
- Any training image or application charge is listed separately from the GPU. A displayed image price is not the full training-session cost.
- Storage and transfer
- Dataset, cache, checkpoints, LoRA output, retention and export traffic require an agreed allowance and billing basis.
- Optional technical work
- Cleaning images, writing captions, tuning settings, operating training and checking inference require a named executor and a separate scope.
- Coordination and applicable taxes
- Chuzu coordination and any applicable taxes follow the accepted quote. Approve the complete cost and stop rule before spending.
開始前の確認
Am I renting an environment or buying a finished LoRA?
The standard scope is an environment you operate. A finished LoRA, dataset work or training operation is included only when a named executor and deliverables are separately agreed.
Does Qwen-Image mean Qwen-Image-Edit is included?
No. Text-to-image generation and image editing use different model and dataset requirements. Confirm the exact version, installed training support and inference workflow for your task.
How many images and which GPU do I need?
Share your image count, dimensions, subject variation and desired result. The provider confirms a workable configuration after reviewing the model and training settings; this page does not promise a minimum memory size or training time.
Will training guarantee a consistent character or perfect Chinese text?
No fixed quality outcome is promised. Agree test prompts and an acceptance sample before expanding the run. Check character details and proofread Chinese copy manually.
Can I export the LoRA and delete my data?
Agree weight and configuration formats, compatible inference tools, download window, storage charges and deletion evidence before starting. Export and closure must match the accepted scope.
Can someone prepare the data or run training for me?
Yes, subject to a separately reviewed scope and named technical executor. List image cleaning, captions, parameter setup, training operation or inference checks explicitly; these tasks are not included in environment rental by default.
How should images and caption files be organized?
For the documented diffusion-pipe dataset format, each image and its .txt caption share a file basename, such as product01.png and product01.txt. Check the installed image workflow before upload, and agree any caption creation work separately.
Must the desktop and training interface stay open?
The supplied image listing warns to keep its desktop and training interface open. It also describes an interruption fix as still being tested. Confirm the current instructions, checkpoint and resume behavior with the provider before relying on an unattended session.
How do I share a confidential image dataset?
Start with a description, approximate image count and permissions. Agree a private transfer route, named users, processing countries and retention before sending files. Do not paste credentials or public links to private portrait or commercial datasets into the inquiry.
When does billing stop and who pays for a failed run?
Confirm GPU release, image or application billing, retained storage and transfer charges separately. Closing a browser does not establish that metering stopped. Agree failed-run and rerun responsibility, spending alerts and who may approve more usage in the quote.
Detailed scope, acceptance, example files & sources
Chuzu が調整する内容
- Match a self-service training environment to an agreed Qwen-Image model version, dataset and GPU.
- Confirm image availability, GPU billing, storage, permitted users and spending limits before a paid session.
- Agree environment checks, LoRA export and data closure; dataset preparation or hands-on training is optional and quoted separately.
作業の担当者
The standard offer is a self-service training environment operated by the customer. A named technical executor can separately handle dataset preparation, captions, parameter setup, training or inference validation when quoted.
準備するもの
- Training goal, reference output and the exact Qwen-Image or separately confirmed Qwen-Image-Edit version.
- Image count, resolution, captions, dataset size and evidence of image, brand, character or portrait permission.
- GPU or memory requirement, session window, allowed processing countries, storage, export destination and budget cap.
初回相談では、不明な情報を未定と記載できます。見積前に最終仕様と供給条件を確認します。
受け取る成果物
- An agreed self-service environment specification with supplier, image version, access window and billing units.
- An environment check record; training logs, LoRA weights, settings and sample images only as agreed in the selected scope.
- An export checklist covering files, compatible inference workflow, retention, access closure and resource release.
受入確認の方法
- The agreed model and training image load, authorized access works and the scoped compatibility check is recorded.
- Any agreed LoRA deliverable loads in the confirmed inference workflow and is evaluated on reserved test prompts and reference criteria.
- File names, versions, export integrity, usage records and data retention match the accepted quote; visual quality is reviewed against an approved sample.
Illustrative Qwen-Image LoRA brief
| Check | Required detail | Evidence | Status |
|---|---|---|---|
| DEMO model | Exact base model and training image version | Confirm installed workflow before starting | Example only · no training executed |
| DEMO dataset | Authorized images, captions and reserved test set | Rights evidence and dataset manifest to agree | Example only · no customer data |
| DEMO export | LoRA weights, configuration and inference check | Export list and acceptance sample to agree | Example only · no weights delivered |
構成を示す例のみです。各行は架空のもので、実際のテスト結果、レンダリング画像、納品機材は含まれません。
見積構成の例
- 案件
- Qwen-Image LoRA 学習環境レンタル · DEMO
- 範囲と受入条件
- 合意する見積には、仕様の版、担当実行者、成果物の確認項目、期限、含まれる修正回数を記載します。
- Chuzuの手配業務
- 適切な既存仕入先がある場合は49米ドル、範囲限定の調達・手配は50米ドル＋49米ドルです。個別の範囲は別途見積となります。
- 資源と実行作業の料金
- 具名の仕入先による確認待ちです。架空の資源価格や一括総額は記載していません。
- 変更と返金
- 完了段階、未着手作業、仕入先の取消条件、承認済み変更をそれぞれ記録します。
この例には、仕入先の承諾、在庫予約、支払い指示はありません。有効な見積として承諾することはできません。
サービス料金に含まれる作業
- 初回評価
- 無料 · ご要望と対応可否を確認
- 適切な既存仕入先との基本手配
- 49米ドル · Chuzu · 合意した手配範囲のみ
- 範囲限定の調達と手配
- 条件を満たす仕入先見積50米ドル＋手配49米ドル · Chuzu
- テスト、技術修正、スクリプト、設置、現場操作
- 範囲と料金を別途合意 · 担当技術者を明記
- 機材、クラウド利用、ソフトウェア、輸送、税金、人員
- 別途明細化 · 仕入先名と元の通貨を明記
複雑な手配は個別の固定見積となります。有料作業の前に、段階別料金、完了証拠、返金規則、変更条件を合意します。現時点の受付は評価依頼であり、有料予約ではありません。
サービス料金一覧を見る範囲・例外・責任者
Qwen-Image generation training and Qwen-Image-Edit editing training require separate version and workflow checks. Upstream support does not confirm the installed rental image. GPU time, image or application charges, storage, transfer, optional human work and Chuzu coordination are itemized. Availability, memory needs, training duration and visual results require project review.
担当者の役割: Chuzu operations · assign a named coordinator before quotation
実証済み能力を表明するには、具名の仕入先と実行者、実費と所要時間の記録、確認済み納品、公開可能な証拠が必要です。
出典と確認
- Xiangong Cloud · supplied training image listing 確認日: 2026-10-20
- diffusion-pipe · upstream training documentation 確認日: 2026-10-20
- Qwen-Image · official model documentation 確認日: 2026-10-20
公式資料は独立した製品や主催者の情報です。仕入先との協力、案件で許可された利用、Chuzuの納品実績には別の証拠が必要です。