At Riverflow, we strive for industry-leading precision. While our model is the most accurate on the market, no current AI image model is 100% accurate at all times. This guide provides a detailed breakdown of every use case and the specific workflows required to achieve professional-grade results.
The Diagnostic Rule: Identify the Issue First
Before spending credits on edits, determine exactly what needs fixing:
Label, text, or logo detail? (Garbled text, wrong flavor name, front artwork)
Product shape or proportions? (Bottle height, pouch silhouette, cap/lid shape)
Product size or realistic scale in the scene?
Number of products or composition?
Tool Definitions:
Fix Product Details: For labels, logos, text, flavor names, and front artwork.
Swap Product: For product shape, proportions, size, and silhouettes.
Detailed Solutions by Use Case
Use Case #1: Fix labels, logos, or text in single product shots
Action: Use Fix Product Details.
Workflow: Use a high-quality PNG of the label.
Constraint: Use ONLY the visible part of the artwork where possible (e.g., front label only, not the full wraparound).
Correct for:
Wrong flavor name
Garbled label text
Incorrect logo
Front artwork not matching the real product
CRITICAL WARNING: DO NOT use Fix Product Details to fix product shape, proportions, cap shape, bottle height, pouch shape, or product size.
Example:
Before vs After:


Use Case #2: Fix product shape, size, or proportions
Action: Use Swap Product.
Workflow: Select the same product again
Correct for:
The bottle is too short/tall
The pouch is too wide/thin
The cap or lid shape is wrong
The product looks stretched or squashed
The product silhouette is not accurate
Tips:
If the scene is very zoomed in, the AI may squash the product to make it fit. Try to change the aspect ratio to create more space, then use Swap Product.
If the product is in a hand or crowded with props, try a simpler scene first
Example:
Before vs After:


Use Case #3: Product size is unrealistic in the scene
Action: Change the scene and regenerate
Reason: This is usually a scene/composition issue, not a label issue
Workflow (try these in order):
Change the aspect ratio to create more room
Choose a scene where the product has enough space
Choose a scene with a similar sized object already in it
Generate 4 candidates
Pick the best one, then use Swap Product if needed
Helpful prompt examples:
"Keep the product upright and front-facing"
"Do not crop the top or bottom of the product"
"Keep the product realistic in scale relative to the hand"
"Leave clear space around the product"
CRITICAL WARNING: DO NOT use Fix Product Details
Use Case #4: Fix labels in multi-product shots
Action: Use Fix Product Details.
Workflow: Use a high-quality PNG for each visible label/front artwork
Constraint: labels are harder when there are multiple products
It works best when:
Products are front-facing
Products are not overlapping
The labels are large enough to read
The scene is not too busy
Tips:
If the product shapes are wrong, use Swap Product first
If all products are wrong, it is normally faster to regenerate than to keep fixing the same image
Example:
Before vs After:


Use Case #5: Create images with 2β4 products
Action: Generate multiple candidates
Workflow:
Generate 4 candidates
Usually, some will be much stronger than others
Pick the best base image first
Correct number of products
Good product shapes
Good composition
Enough space around each product
Then fix details:
Label/text/logo issue = Fix Product Details
Product shape/proportion issue = Swap Product
Tips:
Keep the shot simpler than a single-product image
Avoid stacking lots of edits on a weak image - If the base is bad, remix or regenerate instead
Use Case #6: Create images with more than 4 products
Workflow:
Generate 4 candidates
Pick scenes that already have a similar number of products
Keep the layout simple
Avoid overlapping products
Do not expect every small label to be perfect
Constraint: this is very hard for AI to get exactly right; For final exact product details, the customer may need Photoshop or our artworking service
Tips:
If there is no suitable scene, use the Images area to create an initial composition, then either keep that image or re-upload it as a scene
Use Case #7: Incorrect label shape
Workflow:
First check what is actually wrong
If the product shape is correct but the artwork/text is wrong:
Use Fix Product Details
Use a clean PNG of the visible label/front artwork
If the product body is wrong and that is causing the label shape to warp:
Use Swap Product first
Do not use Fix Product Details yet
If there are multiple products and every label shape is wrong:
Regenerate or remix first
Do not try to fix every label on a bad base image
Use Case #8: Image degrading after multiple edits
Action: Stop editing that version and go back to the best earlier generation.
Workflow:
Stop editing that version
Go back to the best earlier generation
Or regenerate/remix from the original setup
Then apply only one fix at a time
Recommended order:
Get the composition right
Get the product shape/proportions right
Then fix label/text details last
Tips:
Do not keep applying Fix Product Details or Swap Product to an image that is already degraded
Use Case #9: Troubleshooting - Fix Product Details is Not Working
Workflow:
Check if the tool is being used for the correct problem.
It is CORRECT for: Label text, logos, front artwork, and flavor names.
It is NOT CORRECT for: Product shape, dimensions, count, scene composition, or size relative to props/hands.
Action:
If Used Correctly: Please contact support with the Render link, the Original product/label file, a Screenshot of the wrong output, and What you expected to happen.
Use case #10: Achieving Final, Exact Product Accuracy
Be clear: Riverflow can get very strong product imagery, but some outputs still need final artworking when exactness is critical
This is especially true for:
Retailer images
Ecommerce packshots
Compliance-heavy labels
More than 4 products
Tiny label text
Curved, reflective, or transparent packaging
Best workflow:
Use simple scenes
Keep products front-facing
Generate 4 candidates
Pick the strongest base
Use Swap Product for shape/proportion issues
Use Fix Product Details for label/text issues
Use Photoshop or artworking service if every detail must be exact
Our Commitment to You
We are actively working on significant improvements to our text-rendering engine and look forward to sharing these updates with you later this quarter.
Because we acknowledge the frustration that technical inconsistencies can cause, we are happy to offer a one-time credit bundle of 50 credits for users who encounter significant logo/label errors.
Still Facing Issues?
If you are experiencing persistent problems with simple product shots or the Fix Product Details tool, please don't hesitate to reach out to our support team (Human Expert). We are here to help you get the most out of Riverflow.
