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.
Contoh

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
Coba prompt ini →
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
Coba prompt ini →
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
Coba prompt ini →Spesifikasi
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Semua model →Harga berlaku per render dan hanya dipotong dari saldo Anda jika render berhasil. Render yang gagal dikembalikan otomatis. Contoh menunjukkan kemampuan model; hasil Anda bergantung pada prompt dan pengaturan.