Riverflow 2.0 Pro Edit
Sourceful Riverflow 2.0 Pro Edit is an agentic image model optimized for robust, high-precision image editing and transformation.
Beispiele
Change to a natural, realistic style, the woman depicted in Figure 1 is now wearing the coat from Figure 2 — a detailed, well-fitted garment with visible texture, stitching, and realistic fabric folds. The coat’s design, color, and material should match the original image precisely, with no alterations to its structure or appearance. The woman’s posture, expression, and surroundings remain unchanged, ensuring the transformation is seamless and visually coherent. The lighting, background, and overall environment should stay consistent with the original scene to preserve narrative continuity. Th
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Change to a natural, realistic style, the woman depicted in Figure 1 is now wearing the coat from Figure 2 — a detailed, well-fitted garment with visible texture, stitching, and realistic fabric folds. The coat’s design, color, and material should match the original image precisely, with no alterations to its structure or appearance. The woman’s posture, expression, and surroundings remain unchanged, ensuring the transformation is seamless and visually coherent. The lighting, background, and overall environment should stay consistent with the original scene to preserve narrative continuity. Th
Diesen Prompt ausprobieren →
Change to a natural, realistic style, the woman depicted in Figure 1 is now wearing the coat from Figure 2 — a detailed, well-fitted garment with visible texture, stitching, and realistic fabric folds. The coat’s design, color, and material should match the original image precisely, with no alterations to its structure or appearance. The woman’s posture, expression, and surroundings remain unchanged, ensuring the transformation is seamless and visually coherent. The lighting, background, and overall environment should stay consistent with the original scene to preserve narrative continuity. Th
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Ähnliche Modelle
Die Preise gelten pro Rendering und werden nur bei erfolgreichem Rendering von Ihrem Guthaben abgebucht. Fehlgeschlagene Renderings werden automatisch erstattet. Die Beispiele zeigen, was das Modell kann; Ihr Ergebnis hängt von Ihrem Prompt und Ihren Einstellungen ab.