Character Regularity Preservation: Preserving regularity of exclusive elements (for instance reference characters or objects) in visuals across many scenes and environments, a function challenging to attain with regular image modifying applications.
Specific Edits: It identifies the image and modifications only exactly what the command specifies when preserving every little thing else.
Have a distinct concern and might’t uncover The solution you’re in search of? Arrive at out to our support team by sending us an email and we’ll get back to you personally once we can.
Regardless of whether analyzing complex feasibility or showcasing effects to final decision-makers, Playground delivers rapid entry to assess FLUX’s abilities in advance of getting into complete API implementation.
Iterative Modifying Capability: People can proceed adding Recommendations determined by prior edits, step by step refining their creation when preserving impression high quality and character regularity.
Make me a matching flower vase, product or service photography established towards a white wall, sitting down on the picket desk, put some pleasant flowers in it.
Our new high quality product brings utmost overall performance throughout all areas �?tremendously enhanced prompt adherence and typography generation satisfy high quality regularity for editing with no compromise on velocity.
Playground offers builders with a chance to validate use cases, exhibit features to stakeholders, and experiment with advanced picture era in authentic-time.
With FLUX.one Kontext you are able to modify an input picture through basic textual content Recommendations, enabling adaptable more info and fast graphic enhancing - no have to have for finetuning or complex enhancing workflows. The Main abilities with the the FLUX.one Kontext suite are:
Natural Language Understanding: It understands purely natural language Recommendations and would make exact edits whilst keeping all the things else the exact same.
Picture Upload and Instructions: Once you upload a picture and provide a command like 'alter the auto colour to pink', it analyzes the scene.
one’s signature higher-good quality output. The model can tackle text and reference images as inputs, seamlessly accomplishing focused local edits in distinct image locations and complex transformations of overall scenes.
Consistency Throughout Edits: The model excels at keeping regularity across many edits, preserving text styling, and dealing with complex transformations In a natural way.
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