PELAN PROJEK · MENUNGGU PENGESAHAN
Sewa persekitaran latihan LoRA Qwen-Image
Your product. Your character. A reusable visual language.
Sewa persekitaran latihan LoRA Qwen-Image untuk produk, gaya jenama atau watak asli anda. Sahkan versi model, set data yang dibenarkan, GPU dan pelan eksport sebelum bermula.
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.
Persekitaran kendiri
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.Bantuan latihan pilihan
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.
- Sediakan keperluan
- Supply authorized product photos, key details, intended marketplaces and a small set of approved compositions.
- Semak hasil
- 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.
- Sediakan keperluan
- Supply a permitted brand style guide, palette, approved references and the channels where the output will appear.
- Semak hasil
- 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.
- Sediakan keperluan
- Supply character sheets you own or may train on, distinctive features, allowed variations and intended commercial uses.
- Semak hasil
- 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.
- Sediakan keperluan
- Confirm the person’s explicit permission for model training and image use, dataset access, output channels and deletion plan.
- Semak hasil
- 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.
- Sediakan keperluan
- Supply authorized visual references, final Chinese copy, layout needs, target dimensions and the required review process.
- Semak hasil
- 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.
Sebelum bermula
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
Perkara yang diselaraskan oleh Chuzu
- 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.
Siapa yang melaksanakan kerja
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.
Perkara yang perlu disediakan
- 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.
Butiran belum diketahui boleh ditandakan belum diputuskan semasa pertanyaan awal. Spesifikasi akhir dan syarat bekalan disahkan sebelum sebut harga.
Hasil yang anda terima
- 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.
Cara penerimaan hasil
- 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 |
Struktur ilustrasi sahaja. Baris ini sintetik dan tidak mengandungi hasil ujian, bingkai render atau peralatan sebenar yang diserahkan.
Contoh struktur sebut harga
- Projek
- Sewa persekitaran latihan LoRA Qwen-Image · DEMO
- Skop & penerimaan
- Versi spesifikasi, pelaksana bernama, semakan hasil, tarikh akhir dan pindaan yang disertakan terkandung dalam sebut harga yang diterima.
- Penyelarasan Chuzu
- US$49 dengan pembekal sedia ada yang sesuai, atau US$50 + US$49 untuk carian dan penyelarasan terhad. Skop khas disebut harga berasingan.
- Caj sumber & pelaksanaan
- Akan disahkan oleh pembekal yang dinamakan. Tiada harga sumber rekaan atau jumlah menyeluruh dipaparkan.
- Perubahan dan bayaran balik
- Rekod peringkat siap, kerja belum bermula, syarat pembatalan pembekal dan pindaan diluluskan secara berasingan.
Contoh ini tiada penerimaan pembekal, tempahan stok atau arahan pembayaran. Ia tidak boleh diterima sebagai sebut harga sebenar.
Skop fi perkhidmatan
- Penilaian awal
- Percuma · semak keperluan dan sama ada kami boleh membantu
- Penyelarasan asas dengan pembekal sedia ada yang sesuai
- US$49 · Chuzu · skop penyelarasan yang diterima sahaja
- Carian pembekal dan penyelarasan terhad
- US$50 untuk sebut harga pembekal yang memenuhi syarat + US$49 penyelarasan · Chuzu
- Ujian, pembaikan teknikal, skrip, pemasangan atau operasi langsung
- Skop dan sebut harga berasingan · pelaksana teknikal dinamakan
- Peralatan, penggunaan awan, perisian, pengangkutan, cukai atau kakitangan
- Diperincikan berasingan · pembekal dinamakan dan mata wang asal
Penyelarasan lebih rumit menerima sebut harga tetap khas. Amaun peringkat, bukti siap, peraturan bayaran balik dan perubahan dipersetujui sebelum kerja berbayar. Penerimaan semasa ialah penilaian, bukan tempahan berbayar.
Lihat semua fi perkhidmatanSkop, pengecualian & pemilikan
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.
Peranan bertanggungjawab: Chuzu operations · assign a named coordinator before quotation
Pembekal dan pelaksana bernama, rekod kos dan masa sebenar, penyerahan disemak dan bukti boleh diterbitkan diperlukan sebelum mendakwa keupayaan terbukti.
Sumber & semakan
- Xiangong Cloud · supplied training image listing Disemak: 2026-10-20
- diffusion-pipe · upstream training documentation Disemak: 2026-10-20
- Qwen-Image · official model documentation Disemak: 2026-10-20
Rujukan rasmi menerangkan produk bebas atau maklumat penganjur. Kerjasama pembekal, penggunaan projek yang dibenarkan dan pengalaman penyerahan Chuzu memerlukan bukti berasingan.