FLUX Video Upscale

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'bfl:flux@video-upscale',
  positivePrompt: 'Restore this compressed archival marquetry workshop footage with source-faithful detail suitable for a furniture museum master. Enhance the distinct grain and pores of walnut, maple, and dyed veneer; the crisp boundaries of the floral inlay pieces; fine saw teeth; tiny sawdust curls; scratched cutting-board fibers; tarnished brass fittings; paper pattern edges; knit cuff texture; and natural detail in the craftsperson’s hands. Improve edge definition and material separation while reducing block artifacts, ringing, chroma bleed, mosquito noise, and muddy shadow detail. Preserve the craftsperson’s identity, hand anatomy, tool geometry, original framing, coherent motion, warm tungsten illumination, restrained late-1980s analog color character, and original audio. Do not redesign the inlay, invent markings, alter the workshop, or add modern objects, text, graphics, excessive sharpening halos, plastic skin, or unstable frame-to-frame detail.',
  upscaleFactor: 2,
  settings: {
    creativity: 1
  },
  inputs: {
    video: 'https://assets.runware.ai/assets/inputs/d183482d-0803-4dd1-9b74-7124aeab91c8.mp4'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "bfl:flux@video-upscale",
            "positivePrompt": "Restore this compressed archival marquetry workshop footage with source-faithful detail suitable for a furniture museum master. Enhance the distinct grain and pores of walnut, maple, and dyed veneer; the crisp boundaries of the floral inlay pieces; fine saw teeth; tiny sawdust curls; scratched cutting-board fibers; tarnished brass fittings; paper pattern edges; knit cuff texture; and natural detail in the craftsperson’s hands. Improve edge definition and material separation while reducing block artifacts, ringing, chroma bleed, mosquito noise, and muddy shadow detail. Preserve the craftsperson’s identity, hand anatomy, tool geometry, original framing, coherent motion, warm tungsten illumination, restrained late-1980s analog color character, and original audio. Do not redesign the inlay, invent markings, alter the workshop, or add modern objects, text, graphics, excessive sharpening halos, plastic skin, or unstable frame-to-frame detail.",
            "upscaleFactor": 2,
            "settings": {
                "creativity": 1
            },
            "inputs": {
                "video": "https://assets.runware.ai/assets/inputs/d183482d-0803-4dd1-9b74-7124aeab91c8.mp4"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "upscale",
      "taskUUID": "2016506c-bd0f-4f32-b62c-f3ecc0aac21b",
      "model": "bfl:flux@video-upscale",
      "positivePrompt": "Restore this compressed archival marquetry workshop footage with source-faithful detail suitable for a furniture museum master. Enhance the distinct grain and pores of walnut, maple, and dyed veneer; the crisp boundaries of the floral inlay pieces; fine saw teeth; tiny sawdust curls; scratched cutting-board fibers; tarnished brass fittings; paper pattern edges; knit cuff texture; and natural detail in the craftsperson’s hands. Improve edge definition and material separation while reducing block artifacts, ringing, chroma bleed, mosquito noise, and muddy shadow detail. Preserve the craftsperson’s identity, hand anatomy, tool geometry, original framing, coherent motion, warm tungsten illumination, restrained late-1980s analog color character, and original audio. Do not redesign the inlay, invent markings, alter the workshop, or add modern objects, text, graphics, excessive sharpening halos, plastic skin, or unstable frame-to-frame detail.",
      "upscaleFactor": 2,
      "settings": {
        "creativity": 1
      },
      "inputs": {
        "video": "https://assets.runware.ai/assets/inputs/d183482d-0803-4dd1-9b74-7124aeab91c8.mp4"
      }
    }
  ]'

runware run bfl:flux@video-upscale \
  positivePrompt="Restore this compressed archival marquetry workshop footage with source-faithful detail suitable for a furniture museum master. Enhance the distinct grain and pores of walnut, maple, and dyed veneer; the crisp boundaries of the floral inlay pieces; fine saw teeth; tiny sawdust curls; scratched cutting-board fibers; tarnished brass fittings; paper pattern edges; knit cuff texture; and natural detail in the craftsperson’s hands. Improve edge definition and material separation while reducing block artifacts, ringing, chroma bleed, mosquito noise, and muddy shadow detail. Preserve the craftsperson’s identity, hand anatomy, tool geometry, original framing, coherent motion, warm tungsten illumination, restrained late-1980s analog color character, and original audio. Do not redesign the inlay, invent markings, alter the workshop, or add modern objects, text, graphics, excessive sharpening halos, plastic skin, or unstable frame-to-frame detail." \
  upscaleFactor=2 \
  settings.creativity=1 \
  inputs.video=https://assets.runware.ai/assets/inputs/d183482d-0803-4dd1-9b74-7124aeab91c8.mp4

{
  "taskType": "upscale",
  "taskUUID": "2016506c-bd0f-4f32-b62c-f3ecc0aac21b",
  "model": "bfl:flux@video-upscale",
  "positivePrompt": "Restore this compressed archival marquetry workshop footage with source-faithful detail suitable for a furniture museum master. Enhance the distinct grain and pores of walnut, maple, and dyed veneer; the crisp boundaries of the floral inlay pieces; fine saw teeth; tiny sawdust curls; scratched cutting-board fibers; tarnished brass fittings; paper pattern edges; knit cuff texture; and natural detail in the craftsperson’s hands. Improve edge definition and material separation while reducing block artifacts, ringing, chroma bleed, mosquito noise, and muddy shadow detail. Preserve the craftsperson’s identity, hand anatomy, tool geometry, original framing, coherent motion, warm tungsten illumination, restrained late-1980s analog color character, and original audio. Do not redesign the inlay, invent markings, alter the workshop, or add modern objects, text, graphics, excessive sharpening halos, plastic skin, or unstable frame-to-frame detail.",
  "upscaleFactor": 2,
  "settings": {
    "creativity": 1
  },
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/d183482d-0803-4dd1-9b74-7124aeab91c8.mp4"
  }
}

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'bfl:flux@video-upscale',
  positivePrompt: 'Create a source-faithful upscale of this backstage editorial portrait. Preserve the puppeteer\'s exact facial identity, age, expression, skin tone, hand anatomy, pose, framing, camera movement, lighting, depth of field, and the puppet\'s established design. Enhance authentic fine detail in facial pores, silver eyebrow hairs, weathered hands, matte black cotton fibers, carved cypress wood grain, delicate painted eyelids and lips, individual wig hairs, woven silk brocade, metallic embroidery threads, braided cords, and subtle wear along the puppet\'s joints. Clarify the dark velvet curtain texture and softly blurred theater rigging without making the background distracting. Maintain the warm tungsten highlights, deep charcoal shadows, muted oxblood accents, natural cinematic contrast, and smooth coherent motion. Avoid beauty retouching, artificial sharpening halos, waxy skin, invented facial features, altered costume patterns, flicker, temporal crawling, or changing the puppet between frames.',
  upscaleFactor: 2,
  settings: {
    creativity: 1
  },
  inputs: {
    video: 'https://assets.runware.ai/assets/inputs/639bd4b2-7471-4cf4-a494-272fefa4a8cf.mp4'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "bfl:flux@video-upscale",
            "positivePrompt": "Create a source-faithful upscale of this backstage editorial portrait. Preserve the puppeteer's exact facial identity, age, expression, skin tone, hand anatomy, pose, framing, camera movement, lighting, depth of field, and the puppet's established design. Enhance authentic fine detail in facial pores, silver eyebrow hairs, weathered hands, matte black cotton fibers, carved cypress wood grain, delicate painted eyelids and lips, individual wig hairs, woven silk brocade, metallic embroidery threads, braided cords, and subtle wear along the puppet's joints. Clarify the dark velvet curtain texture and softly blurred theater rigging without making the background distracting. Maintain the warm tungsten highlights, deep charcoal shadows, muted oxblood accents, natural cinematic contrast, and smooth coherent motion. Avoid beauty retouching, artificial sharpening halos, waxy skin, invented facial features, altered costume patterns, flicker, temporal crawling, or changing the puppet between frames.",
            "upscaleFactor": 2,
            "settings": {
                "creativity": 1
            },
            "inputs": {
                "video": "https://assets.runware.ai/assets/inputs/639bd4b2-7471-4cf4-a494-272fefa4a8cf.mp4"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "upscale",
      "taskUUID": "e3ef7026-ba6c-47dc-a9f7-490bc577dff2",
      "model": "bfl:flux@video-upscale",
      "positivePrompt": "Create a source-faithful upscale of this backstage editorial portrait. Preserve the puppeteer's exact facial identity, age, expression, skin tone, hand anatomy, pose, framing, camera movement, lighting, depth of field, and the puppet's established design. Enhance authentic fine detail in facial pores, silver eyebrow hairs, weathered hands, matte black cotton fibers, carved cypress wood grain, delicate painted eyelids and lips, individual wig hairs, woven silk brocade, metallic embroidery threads, braided cords, and subtle wear along the puppet's joints. Clarify the dark velvet curtain texture and softly blurred theater rigging without making the background distracting. Maintain the warm tungsten highlights, deep charcoal shadows, muted oxblood accents, natural cinematic contrast, and smooth coherent motion. Avoid beauty retouching, artificial sharpening halos, waxy skin, invented facial features, altered costume patterns, flicker, temporal crawling, or changing the puppet between frames.",
      "upscaleFactor": 2,
      "settings": {
        "creativity": 1
      },
      "inputs": {
        "video": "https://assets.runware.ai/assets/inputs/639bd4b2-7471-4cf4-a494-272fefa4a8cf.mp4"
      }
    }
  ]'

runware run bfl:flux@video-upscale \
  positivePrompt="Create a source-faithful upscale of this backstage editorial portrait. Preserve the puppeteer's exact facial identity, age, expression, skin tone, hand anatomy, pose, framing, camera movement, lighting, depth of field, and the puppet's established design. Enhance authentic fine detail in facial pores, silver eyebrow hairs, weathered hands, matte black cotton fibers, carved cypress wood grain, delicate painted eyelids and lips, individual wig hairs, woven silk brocade, metallic embroidery threads, braided cords, and subtle wear along the puppet's joints. Clarify the dark velvet curtain texture and softly blurred theater rigging without making the background distracting. Maintain the warm tungsten highlights, deep charcoal shadows, muted oxblood accents, natural cinematic contrast, and smooth coherent motion. Avoid beauty retouching, artificial sharpening halos, waxy skin, invented facial features, altered costume patterns, flicker, temporal crawling, or changing the puppet between frames." \
  upscaleFactor=2 \
  settings.creativity=1 \
  inputs.video=https://assets.runware.ai/assets/inputs/639bd4b2-7471-4cf4-a494-272fefa4a8cf.mp4

{
  "taskType": "upscale",
  "taskUUID": "e3ef7026-ba6c-47dc-a9f7-490bc577dff2",
  "model": "bfl:flux@video-upscale",
  "positivePrompt": "Create a source-faithful upscale of this backstage editorial portrait. Preserve the puppeteer's exact facial identity, age, expression, skin tone, hand anatomy, pose, framing, camera movement, lighting, depth of field, and the puppet's established design. Enhance authentic fine detail in facial pores, silver eyebrow hairs, weathered hands, matte black cotton fibers, carved cypress wood grain, delicate painted eyelids and lips, individual wig hairs, woven silk brocade, metallic embroidery threads, braided cords, and subtle wear along the puppet's joints. Clarify the dark velvet curtain texture and softly blurred theater rigging without making the background distracting. Maintain the warm tungsten highlights, deep charcoal shadows, muted oxblood accents, natural cinematic contrast, and smooth coherent motion. Avoid beauty retouching, artificial sharpening halos, waxy skin, invented facial features, altered costume patterns, flicker, temporal crawling, or changing the puppet between frames.",
  "upscaleFactor": 2,
  "settings": {
    "creativity": 1
  },
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/639bd4b2-7471-4cf4-a494-272fefa4a8cf.mp4"
  }
}

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'bfl:flux@video-upscale',
  positivePrompt: 'Enhance this sustainable biomaterials documentary footage while preserving the original composition, camera movement and physical action. Prioritize realistic fine detail in the mycelium leather: dense branching fibers, delicate suede-like surface grain, natural tonal variation, tiny pores and the feathered raw edge. Clarify the pale sage nitrile glove creases, brushed stainless-steel rack, individual cork granules and small moisture beads without making any surface look synthetic or oversharpened. Maintain soft overcast side light, neutral laboratory illumination, muted sand, cream, sage and silver colors, natural depth of field and stable temporal detail throughout the lift, bend and placement of the sheet. Preserve coherent hand motion, flexible material behavior and clean edges; avoid invented objects, lettering, logos, flicker, halos, excessive contrast or plastic-looking textures.',
  upscaleFactor: 2,
  settings: {
    creativity: 1
  },
  inputs: {
    video: 'https://assets.runware.ai/assets/inputs/66f99f9b-1169-4672-b3fe-1b90e7dc762c.mp4'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "bfl:flux@video-upscale",
            "positivePrompt": "Enhance this sustainable biomaterials documentary footage while preserving the original composition, camera movement and physical action. Prioritize realistic fine detail in the mycelium leather: dense branching fibers, delicate suede-like surface grain, natural tonal variation, tiny pores and the feathered raw edge. Clarify the pale sage nitrile glove creases, brushed stainless-steel rack, individual cork granules and small moisture beads without making any surface look synthetic or oversharpened. Maintain soft overcast side light, neutral laboratory illumination, muted sand, cream, sage and silver colors, natural depth of field and stable temporal detail throughout the lift, bend and placement of the sheet. Preserve coherent hand motion, flexible material behavior and clean edges; avoid invented objects, lettering, logos, flicker, halos, excessive contrast or plastic-looking textures.",
            "upscaleFactor": 2,
            "settings": {
                "creativity": 1
            },
            "inputs": {
                "video": "https://assets.runware.ai/assets/inputs/66f99f9b-1169-4672-b3fe-1b90e7dc762c.mp4"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "upscale",
      "taskUUID": "568cf985-95a3-4b0a-94db-5c18e04ee67e",
      "model": "bfl:flux@video-upscale",
      "positivePrompt": "Enhance this sustainable biomaterials documentary footage while preserving the original composition, camera movement and physical action. Prioritize realistic fine detail in the mycelium leather: dense branching fibers, delicate suede-like surface grain, natural tonal variation, tiny pores and the feathered raw edge. Clarify the pale sage nitrile glove creases, brushed stainless-steel rack, individual cork granules and small moisture beads without making any surface look synthetic or oversharpened. Maintain soft overcast side light, neutral laboratory illumination, muted sand, cream, sage and silver colors, natural depth of field and stable temporal detail throughout the lift, bend and placement of the sheet. Preserve coherent hand motion, flexible material behavior and clean edges; avoid invented objects, lettering, logos, flicker, halos, excessive contrast or plastic-looking textures.",
      "upscaleFactor": 2,
      "settings": {
        "creativity": 1
      },
      "inputs": {
        "video": "https://assets.runware.ai/assets/inputs/66f99f9b-1169-4672-b3fe-1b90e7dc762c.mp4"
      }
    }
  ]'

runware run bfl:flux@video-upscale \
  positivePrompt="Enhance this sustainable biomaterials documentary footage while preserving the original composition, camera movement and physical action. Prioritize realistic fine detail in the mycelium leather: dense branching fibers, delicate suede-like surface grain, natural tonal variation, tiny pores and the feathered raw edge. Clarify the pale sage nitrile glove creases, brushed stainless-steel rack, individual cork granules and small moisture beads without making any surface look synthetic or oversharpened. Maintain soft overcast side light, neutral laboratory illumination, muted sand, cream, sage and silver colors, natural depth of field and stable temporal detail throughout the lift, bend and placement of the sheet. Preserve coherent hand motion, flexible material behavior and clean edges; avoid invented objects, lettering, logos, flicker, halos, excessive contrast or plastic-looking textures." \
  upscaleFactor=2 \
  settings.creativity=1 \
  inputs.video=https://assets.runware.ai/assets/inputs/66f99f9b-1169-4672-b3fe-1b90e7dc762c.mp4

{
  "taskType": "upscale",
  "taskUUID": "568cf985-95a3-4b0a-94db-5c18e04ee67e",
  "model": "bfl:flux@video-upscale",
  "positivePrompt": "Enhance this sustainable biomaterials documentary footage while preserving the original composition, camera movement and physical action. Prioritize realistic fine detail in the mycelium leather: dense branching fibers, delicate suede-like surface grain, natural tonal variation, tiny pores and the feathered raw edge. Clarify the pale sage nitrile glove creases, brushed stainless-steel rack, individual cork granules and small moisture beads without making any surface look synthetic or oversharpened. Maintain soft overcast side light, neutral laboratory illumination, muted sand, cream, sage and silver colors, natural depth of field and stable temporal detail throughout the lift, bend and placement of the sheet. Preserve coherent hand motion, flexible material behavior and clean edges; avoid invented objects, lettering, logos, flicker, halos, excessive contrast or plastic-looking textures.",
  "upscaleFactor": 2,
  "settings": {
    "creativity": 1
  },
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/66f99f9b-1169-4672-b3fe-1b90e7dc762c.mp4"
  }
}

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'bfl:flux@video-upscale',
  positivePrompt: 'Create a source-faithful premium finishing pass for this cinematic documentary title sequence. Preserve the continuous camera movement, timing, composition, original audio, restrained film grain and exact typography, including the spelling and clean geometry of “FAULT LINE” and “BENEATH THE CONNECTED WORLD.” Enhance the physically grounded fine detail of the wet subsea cable: distinct galvanized armor-wire helices, tarred fiber strands, embedded salt crystals, small barnacle shells, orange corrosion, dark marine grease and sharply resolved droplets sliding across the surface. Clarify machining marks, scratches and moisture on the steel guide wheels; worn pigment and chipped edges in the yellow deck markings; fine rain, mist and specular reflections under the cold blue and sodium-orange work lights. Retain deep abyssal blacks, controlled metallic highlights, natural motion blur and the tense forensic industrial atmosphere. Avoid changing object shapes, inventing equipment, oversharpening edges, creating halos, smoothing textures, altering letterforms or adding new text and logos.',
  upscaleFactor: 2,
  settings: {
    creativity: 1
  },
  inputs: {
    video: 'https://assets.runware.ai/assets/inputs/feca2599-91be-4433-ae06-6f3bcb402895.mp4'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "bfl:flux@video-upscale",
            "positivePrompt": "Create a source-faithful premium finishing pass for this cinematic documentary title sequence. Preserve the continuous camera movement, timing, composition, original audio, restrained film grain and exact typography, including the spelling and clean geometry of “FAULT LINE” and “BENEATH THE CONNECTED WORLD.” Enhance the physically grounded fine detail of the wet subsea cable: distinct galvanized armor-wire helices, tarred fiber strands, embedded salt crystals, small barnacle shells, orange corrosion, dark marine grease and sharply resolved droplets sliding across the surface. Clarify machining marks, scratches and moisture on the steel guide wheels; worn pigment and chipped edges in the yellow deck markings; fine rain, mist and specular reflections under the cold blue and sodium-orange work lights. Retain deep abyssal blacks, controlled metallic highlights, natural motion blur and the tense forensic industrial atmosphere. Avoid changing object shapes, inventing equipment, oversharpening edges, creating halos, smoothing textures, altering letterforms or adding new text and logos.",
            "upscaleFactor": 2,
            "settings": {
                "creativity": 1
            },
            "inputs": {
                "video": "https://assets.runware.ai/assets/inputs/feca2599-91be-4433-ae06-6f3bcb402895.mp4"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "upscale",
      "taskUUID": "783b597a-202d-4106-a5df-f2f57d74f5f1",
      "model": "bfl:flux@video-upscale",
      "positivePrompt": "Create a source-faithful premium finishing pass for this cinematic documentary title sequence. Preserve the continuous camera movement, timing, composition, original audio, restrained film grain and exact typography, including the spelling and clean geometry of “FAULT LINE” and “BENEATH THE CONNECTED WORLD.” Enhance the physically grounded fine detail of the wet subsea cable: distinct galvanized armor-wire helices, tarred fiber strands, embedded salt crystals, small barnacle shells, orange corrosion, dark marine grease and sharply resolved droplets sliding across the surface. Clarify machining marks, scratches and moisture on the steel guide wheels; worn pigment and chipped edges in the yellow deck markings; fine rain, mist and specular reflections under the cold blue and sodium-orange work lights. Retain deep abyssal blacks, controlled metallic highlights, natural motion blur and the tense forensic industrial atmosphere. Avoid changing object shapes, inventing equipment, oversharpening edges, creating halos, smoothing textures, altering letterforms or adding new text and logos.",
      "upscaleFactor": 2,
      "settings": {
        "creativity": 1
      },
      "inputs": {
        "video": "https://assets.runware.ai/assets/inputs/feca2599-91be-4433-ae06-6f3bcb402895.mp4"
      }
    }
  ]'

runware run bfl:flux@video-upscale \
  positivePrompt="Create a source-faithful premium finishing pass for this cinematic documentary title sequence. Preserve the continuous camera movement, timing, composition, original audio, restrained film grain and exact typography, including the spelling and clean geometry of “FAULT LINE” and “BENEATH THE CONNECTED WORLD.” Enhance the physically grounded fine detail of the wet subsea cable: distinct galvanized armor-wire helices, tarred fiber strands, embedded salt crystals, small barnacle shells, orange corrosion, dark marine grease and sharply resolved droplets sliding across the surface. Clarify machining marks, scratches and moisture on the steel guide wheels; worn pigment and chipped edges in the yellow deck markings; fine rain, mist and specular reflections under the cold blue and sodium-orange work lights. Retain deep abyssal blacks, controlled metallic highlights, natural motion blur and the tense forensic industrial atmosphere. Avoid changing object shapes, inventing equipment, oversharpening edges, creating halos, smoothing textures, altering letterforms or adding new text and logos." \
  upscaleFactor=2 \
  settings.creativity=1 \
  inputs.video=https://assets.runware.ai/assets/inputs/feca2599-91be-4433-ae06-6f3bcb402895.mp4

{
  "taskType": "upscale",
  "taskUUID": "783b597a-202d-4106-a5df-f2f57d74f5f1",
  "model": "bfl:flux@video-upscale",
  "positivePrompt": "Create a source-faithful premium finishing pass for this cinematic documentary title sequence. Preserve the continuous camera movement, timing, composition, original audio, restrained film grain and exact typography, including the spelling and clean geometry of “FAULT LINE” and “BENEATH THE CONNECTED WORLD.” Enhance the physically grounded fine detail of the wet subsea cable: distinct galvanized armor-wire helices, tarred fiber strands, embedded salt crystals, small barnacle shells, orange corrosion, dark marine grease and sharply resolved droplets sliding across the surface. Clarify machining marks, scratches and moisture on the steel guide wheels; worn pigment and chipped edges in the yellow deck markings; fine rain, mist and specular reflections under the cold blue and sodium-orange work lights. Retain deep abyssal blacks, controlled metallic highlights, natural motion blur and the tense forensic industrial atmosphere. Avoid changing object shapes, inventing equipment, oversharpening edges, creating halos, smoothing textures, altering letterforms or adding new text and logos.",
  "upscaleFactor": 2,
  "settings": {
    "creativity": 1
  },
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/feca2599-91be-4433-ae06-6f3bcb402895.mp4"
  }
}

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'bfl:flux@video-upscale',
  positivePrompt: 'Source-faithful 4K documentary stock footage. Preserve the exact sea turtle anatomy, veterinary staff, ultrasound probe, equipment geometry, framing, colors, timing, and natural motion. Sharpen fine shell texture, glove texture, fabric weave, instrument edges, and subtle clinical-room details without inventing markings, altering faces, changing screen content, or introducing new objects. Maintain soft diffused lighting, restrained aqua-and-white color grading, realistic skin tones, smooth motion, and the original audio track.',
  upscaleFactor: 2,
  settings: {
    creativity: 0
  },
  inputs: {
    video: 'https://assets.runware.ai/assets/inputs/5c3ae9c6-8704-41e5-a0e0-a3fc2b878eb1.mp4'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "bfl:flux@video-upscale",
            "positivePrompt": "Source-faithful 4K documentary stock footage. Preserve the exact sea turtle anatomy, veterinary staff, ultrasound probe, equipment geometry, framing, colors, timing, and natural motion. Sharpen fine shell texture, glove texture, fabric weave, instrument edges, and subtle clinical-room details without inventing markings, altering faces, changing screen content, or introducing new objects. Maintain soft diffused lighting, restrained aqua-and-white color grading, realistic skin tones, smooth motion, and the original audio track.",
            "upscaleFactor": 2,
            "settings": {
                "creativity": 0
            },
            "inputs": {
                "video": "https://assets.runware.ai/assets/inputs/5c3ae9c6-8704-41e5-a0e0-a3fc2b878eb1.mp4"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "upscale",
      "taskUUID": "516d9baf-abd7-4099-beb4-d8d63c397c2e",
      "model": "bfl:flux@video-upscale",
      "positivePrompt": "Source-faithful 4K documentary stock footage. Preserve the exact sea turtle anatomy, veterinary staff, ultrasound probe, equipment geometry, framing, colors, timing, and natural motion. Sharpen fine shell texture, glove texture, fabric weave, instrument edges, and subtle clinical-room details without inventing markings, altering faces, changing screen content, or introducing new objects. Maintain soft diffused lighting, restrained aqua-and-white color grading, realistic skin tones, smooth motion, and the original audio track.",
      "upscaleFactor": 2,
      "settings": {
        "creativity": 0
      },
      "inputs": {
        "video": "https://assets.runware.ai/assets/inputs/5c3ae9c6-8704-41e5-a0e0-a3fc2b878eb1.mp4"
      }
    }
  ]'

runware run bfl:flux@video-upscale \
  positivePrompt="Source-faithful 4K documentary stock footage. Preserve the exact sea turtle anatomy, veterinary staff, ultrasound probe, equipment geometry, framing, colors, timing, and natural motion. Sharpen fine shell texture, glove texture, fabric weave, instrument edges, and subtle clinical-room details without inventing markings, altering faces, changing screen content, or introducing new objects. Maintain soft diffused lighting, restrained aqua-and-white color grading, realistic skin tones, smooth motion, and the original audio track." \
  upscaleFactor=2 \
  settings.creativity=0 \
  inputs.video=https://assets.runware.ai/assets/inputs/5c3ae9c6-8704-41e5-a0e0-a3fc2b878eb1.mp4

{
  "taskType": "upscale",
  "taskUUID": "516d9baf-abd7-4099-beb4-d8d63c397c2e",
  "model": "bfl:flux@video-upscale",
  "positivePrompt": "Source-faithful 4K documentary stock footage. Preserve the exact sea turtle anatomy, veterinary staff, ultrasound probe, equipment geometry, framing, colors, timing, and natural motion. Sharpen fine shell texture, glove texture, fabric weave, instrument edges, and subtle clinical-room details without inventing markings, altering faces, changing screen content, or introducing new objects. Maintain soft diffused lighting, restrained aqua-and-white color grading, realistic skin tones, smooth motion, and the original audio track.",
  "upscaleFactor": 2,
  "settings": {
    "creativity": 0
  },
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/5c3ae9c6-8704-41e5-a0e0-a3fc2b878eb1.mp4"
  }
}

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'bfl:flux@video-upscale',
  positivePrompt: 'Enhance this finished music-video segment for a clean 1080p master. Restore fine detail in the cast-bronze surfaces, soot, leather gloves, foundry tools, smoke, furnace brick, molten metal, and individual sparks. Preserve the original performers, framing, cuts, camera movement, natural motion blur, dramatic warm-and-blue color grade, rhythmic timing, and embedded audio track.',
  inputs: {
    video: 'https://assets.runware.ai/assets/inputs/e55f5d42-c0de-408a-8bce-07498d1025f3.mp4'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "bfl:flux@video-upscale",
            "positivePrompt": "Enhance this finished music-video segment for a clean 1080p master. Restore fine detail in the cast-bronze surfaces, soot, leather gloves, foundry tools, smoke, furnace brick, molten metal, and individual sparks. Preserve the original performers, framing, cuts, camera movement, natural motion blur, dramatic warm-and-blue color grade, rhythmic timing, and embedded audio track.",
            "inputs": {
                "video": "https://assets.runware.ai/assets/inputs/e55f5d42-c0de-408a-8bce-07498d1025f3.mp4"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "upscale",
      "taskUUID": "534312da-4f72-4221-ae9d-98d6ef550416",
      "model": "bfl:flux@video-upscale",
      "positivePrompt": "Enhance this finished music-video segment for a clean 1080p master. Restore fine detail in the cast-bronze surfaces, soot, leather gloves, foundry tools, smoke, furnace brick, molten metal, and individual sparks. Preserve the original performers, framing, cuts, camera movement, natural motion blur, dramatic warm-and-blue color grade, rhythmic timing, and embedded audio track.",
      "inputs": {
        "video": "https://assets.runware.ai/assets/inputs/e55f5d42-c0de-408a-8bce-07498d1025f3.mp4"
      }
    }
  ]'

runware run bfl:flux@video-upscale \
  positivePrompt="Enhance this finished music-video segment for a clean 1080p master. Restore fine detail in the cast-bronze surfaces, soot, leather gloves, foundry tools, smoke, furnace brick, molten metal, and individual sparks. Preserve the original performers, framing, cuts, camera movement, natural motion blur, dramatic warm-and-blue color grade, rhythmic timing, and embedded audio track." \
  inputs.video=https://assets.runware.ai/assets/inputs/e55f5d42-c0de-408a-8bce-07498d1025f3.mp4

{
  "taskType": "upscale",
  "taskUUID": "534312da-4f72-4221-ae9d-98d6ef550416",
  "model": "bfl:flux@video-upscale",
  "positivePrompt": "Enhance this finished music-video segment for a clean 1080p master. Restore fine detail in the cast-bronze surfaces, soot, leather gloves, foundry tools, smoke, furnace brick, molten metal, and individual sparks. Preserve the original performers, framing, cuts, camera movement, natural motion blur, dramatic warm-and-blue color grade, rhythmic timing, and embedded audio track.",
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/e55f5d42-c0de-408a-8bce-07498d1025f3.mp4"
  }
}

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'bfl:flux@video-upscale',
  positivePrompt: 'Source-faithful archival restoration. Recover natural facial features, hands, seed textures, paper fibers, metal drawer edges, laboratory surfaces, and subtle fabric detail while retaining the authentic early-1990s documentary appearance, restrained color, original framing, motion, and existing envelope markings. Reduce compression artifacts, VHS noise, softness, and interlacing without inventing text, changing identities, or modernizing the scene.',
  upscaleFactor: 3,
  settings: {
    creativity: 0
  },
  inputs: {
    video: 'https://assets.runware.ai/assets/inputs/1b3024b5-e041-4146-a583-bf72218878c9.mp4'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "bfl:flux@video-upscale",
            "positivePrompt": "Source-faithful archival restoration. Recover natural facial features, hands, seed textures, paper fibers, metal drawer edges, laboratory surfaces, and subtle fabric detail while retaining the authentic early-1990s documentary appearance, restrained color, original framing, motion, and existing envelope markings. Reduce compression artifacts, VHS noise, softness, and interlacing without inventing text, changing identities, or modernizing the scene.",
            "upscaleFactor": 3,
            "settings": {
                "creativity": 0
            },
            "inputs": {
                "video": "https://assets.runware.ai/assets/inputs/1b3024b5-e041-4146-a583-bf72218878c9.mp4"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "upscale",
      "taskUUID": "1d817ec8-dbb6-4c73-94f2-0c59e4080922",
      "model": "bfl:flux@video-upscale",
      "positivePrompt": "Source-faithful archival restoration. Recover natural facial features, hands, seed textures, paper fibers, metal drawer edges, laboratory surfaces, and subtle fabric detail while retaining the authentic early-1990s documentary appearance, restrained color, original framing, motion, and existing envelope markings. Reduce compression artifacts, VHS noise, softness, and interlacing without inventing text, changing identities, or modernizing the scene.",
      "upscaleFactor": 3,
      "settings": {
        "creativity": 0
      },
      "inputs": {
        "video": "https://assets.runware.ai/assets/inputs/1b3024b5-e041-4146-a583-bf72218878c9.mp4"
      }
    }
  ]'

runware run bfl:flux@video-upscale \
  positivePrompt="Source-faithful archival restoration. Recover natural facial features, hands, seed textures, paper fibers, metal drawer edges, laboratory surfaces, and subtle fabric detail while retaining the authentic early-1990s documentary appearance, restrained color, original framing, motion, and existing envelope markings. Reduce compression artifacts, VHS noise, softness, and interlacing without inventing text, changing identities, or modernizing the scene." \
  upscaleFactor=3 \
  settings.creativity=0 \
  inputs.video=https://assets.runware.ai/assets/inputs/1b3024b5-e041-4146-a583-bf72218878c9.mp4

{
  "taskType": "upscale",
  "taskUUID": "1d817ec8-dbb6-4c73-94f2-0c59e4080922",
  "model": "bfl:flux@video-upscale",
  "positivePrompt": "Source-faithful archival restoration. Recover natural facial features, hands, seed textures, paper fibers, metal drawer edges, laboratory surfaces, and subtle fabric detail while retaining the authentic early-1990s documentary appearance, restrained color, original framing, motion, and existing envelope markings. Reduce compression artifacts, VHS noise, softness, and interlacing without inventing text, changing identities, or modernizing the scene.",
  "upscaleFactor": 3,
  "settings": {
    "creativity": 0
  },
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/1b3024b5-e041-4146-a583-bf72218878c9.mp4"
  }
}

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'bfl:flux@video-upscale',
  positivePrompt: 'Enhance the quilt as a tactile museum artwork: restore crisp individual thread fibers, layered running stitches, woven fabric grain, appliqué edges, subtle singed textures, and gentle relief created by the batting. Preserve the slow camera movement, shallow depth of field, ember-orange, rust, soot-black, and indigo palette, natural raking gallery light, and the original composition while adding refined textile detail suitable for a 4K exhibition master.',
  upscaleFactor: 3,
  settings: {
    creativity: 1
  },
  inputs: {
    video: 'https://assets.runware.ai/assets/inputs/fc06c6b6-098a-49d1-9b48-5dc778f0082b.mp4'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "bfl:flux@video-upscale",
            "positivePrompt": "Enhance the quilt as a tactile museum artwork: restore crisp individual thread fibers, layered running stitches, woven fabric grain, appliqué edges, subtle singed textures, and gentle relief created by the batting. Preserve the slow camera movement, shallow depth of field, ember-orange, rust, soot-black, and indigo palette, natural raking gallery light, and the original composition while adding refined textile detail suitable for a 4K exhibition master.",
            "upscaleFactor": 3,
            "settings": {
                "creativity": 1
            },
            "inputs": {
                "video": "https://assets.runware.ai/assets/inputs/fc06c6b6-098a-49d1-9b48-5dc778f0082b.mp4"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "upscale",
      "taskUUID": "d62734b5-121f-47cf-b31c-9a5531afecd9",
      "model": "bfl:flux@video-upscale",
      "positivePrompt": "Enhance the quilt as a tactile museum artwork: restore crisp individual thread fibers, layered running stitches, woven fabric grain, appliqué edges, subtle singed textures, and gentle relief created by the batting. Preserve the slow camera movement, shallow depth of field, ember-orange, rust, soot-black, and indigo palette, natural raking gallery light, and the original composition while adding refined textile detail suitable for a 4K exhibition master.",
      "upscaleFactor": 3,
      "settings": {
        "creativity": 1
      },
      "inputs": {
        "video": "https://assets.runware.ai/assets/inputs/fc06c6b6-098a-49d1-9b48-5dc778f0082b.mp4"
      }
    }
  ]'

runware run bfl:flux@video-upscale \
  positivePrompt="Enhance the quilt as a tactile museum artwork: restore crisp individual thread fibers, layered running stitches, woven fabric grain, appliqué edges, subtle singed textures, and gentle relief created by the batting. Preserve the slow camera movement, shallow depth of field, ember-orange, rust, soot-black, and indigo palette, natural raking gallery light, and the original composition while adding refined textile detail suitable for a 4K exhibition master." \
  upscaleFactor=3 \
  settings.creativity=1 \
  inputs.video=https://assets.runware.ai/assets/inputs/fc06c6b6-098a-49d1-9b48-5dc778f0082b.mp4

{
  "taskType": "upscale",
  "taskUUID": "d62734b5-121f-47cf-b31c-9a5531afecd9",
  "model": "bfl:flux@video-upscale",
  "positivePrompt": "Enhance the quilt as a tactile museum artwork: restore crisp individual thread fibers, layered running stitches, woven fabric grain, appliqué edges, subtle singed textures, and gentle relief created by the batting. Preserve the slow camera movement, shallow depth of field, ember-orange, rust, soot-black, and indigo palette, natural raking gallery light, and the original composition while adding refined textile detail suitable for a 4K exhibition master.",
  "upscaleFactor": 3,
  "settings": {
    "creativity": 1
  },
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/fc06c6b6-098a-49d1-9b48-5dc778f0082b.mp4"
  }
}

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'bfl:flux@video-upscale',
  positivePrompt: 'Source-faithful archival restoration. Recover natural facial features, individual strands of styled hair, crisp sequin patterns, tailored costume edges, parquet wood grain, and subtle fabric movement while preserving the dancers’ identities, choreography, original 4:3 framing, camera motion, warm tungsten lighting, burgundy-and-teal palette, period broadcast character, and original audio. Reduce compression blocking, color bleed, tape noise, ringing, and softness without introducing modern objects, altered faces, artificial skin, extra limbs, text, or logos.',
  upscaleFactor: 1.5,
  settings: {
    creativity: 0
  },
  inputs: {
    video: 'https://assets.runware.ai/assets/inputs/df78ee17-6e9a-4962-9c90-08938e60f118.mp4'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "bfl:flux@video-upscale",
            "positivePrompt": "Source-faithful archival restoration. Recover natural facial features, individual strands of styled hair, crisp sequin patterns, tailored costume edges, parquet wood grain, and subtle fabric movement while preserving the dancers’ identities, choreography, original 4:3 framing, camera motion, warm tungsten lighting, burgundy-and-teal palette, period broadcast character, and original audio. Reduce compression blocking, color bleed, tape noise, ringing, and softness without introducing modern objects, altered faces, artificial skin, extra limbs, text, or logos.",
            "upscaleFactor": 1.5,
            "settings": {
                "creativity": 0
            },
            "inputs": {
                "video": "https://assets.runware.ai/assets/inputs/df78ee17-6e9a-4962-9c90-08938e60f118.mp4"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "upscale",
      "taskUUID": "d582c848-96c9-4f7a-b73b-6d1c75b8e552",
      "model": "bfl:flux@video-upscale",
      "positivePrompt": "Source-faithful archival restoration. Recover natural facial features, individual strands of styled hair, crisp sequin patterns, tailored costume edges, parquet wood grain, and subtle fabric movement while preserving the dancers’ identities, choreography, original 4:3 framing, camera motion, warm tungsten lighting, burgundy-and-teal palette, period broadcast character, and original audio. Reduce compression blocking, color bleed, tape noise, ringing, and softness without introducing modern objects, altered faces, artificial skin, extra limbs, text, or logos.",
      "upscaleFactor": 1.5,
      "settings": {
        "creativity": 0
      },
      "inputs": {
        "video": "https://assets.runware.ai/assets/inputs/df78ee17-6e9a-4962-9c90-08938e60f118.mp4"
      }
    }
  ]'

runware run bfl:flux@video-upscale \
  positivePrompt="Source-faithful archival restoration. Recover natural facial features, individual strands of styled hair, crisp sequin patterns, tailored costume edges, parquet wood grain, and subtle fabric movement while preserving the dancers’ identities, choreography, original 4:3 framing, camera motion, warm tungsten lighting, burgundy-and-teal palette, period broadcast character, and original audio. Reduce compression blocking, color bleed, tape noise, ringing, and softness without introducing modern objects, altered faces, artificial skin, extra limbs, text, or logos." \
  upscaleFactor=1.5 \
  settings.creativity=0 \
  inputs.video=https://assets.runware.ai/assets/inputs/df78ee17-6e9a-4962-9c90-08938e60f118.mp4

{
  "taskType": "upscale",
  "taskUUID": "d582c848-96c9-4f7a-b73b-6d1c75b8e552",
  "model": "bfl:flux@video-upscale",
  "positivePrompt": "Source-faithful archival restoration. Recover natural facial features, individual strands of styled hair, crisp sequin patterns, tailored costume edges, parquet wood grain, and subtle fabric movement while preserving the dancers’ identities, choreography, original 4:3 framing, camera motion, warm tungsten lighting, burgundy-and-teal palette, period broadcast character, and original audio. Reduce compression blocking, color bleed, tape noise, ringing, and softness without introducing modern objects, altered faces, artificial skin, extra limbs, text, or logos.",
  "upscaleFactor": 1.5,
  "settings": {
    "creativity": 0
  },
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/df78ee17-6e9a-4962-9c90-08938e60f118.mp4"
  }
}