biggpt1/pana-video – Run with an API on Replicate

biggpt1 / pana-video

Warm

Public
73 runs
H100

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

prompt

*string

Shift + Return to add a new line

Ultra-realistic photo of a couple, PNA_men on the left in red clothes and PNA_woman on the right, inside a vintage tram, surrounded by an explosion of lush flowers. On the left, PNA_men wears a deep crimson-red zip-up tracksuit with white piping details over a plain white t-shirt. He holds a small metallic coffee cup in his hand. On the right, PNA_woman, with voluminous curly red hair, wears a navy-blue tracksuit jacket with a small embroidered logo, a loose white t-shirt, and matching navy-blue trousers. Her nails are painted in a mix of bold yellow and deep red, and she wears multiple rings.

The tram’s interior is filled with a riot of colors, as flowers in pink, red, blue, purple, and white burst from every surface—walls, ceiling, seats, and floor. Roses, peonies, hydrangeas, carnations, and lilacs cascade from hanging baskets, climb polished brass handrails, and spill across windowsills. Some petals appear almost neon, glowing under the warm sunlight streaming through the windows, casting colorful reflections onto the couple’s faces.

They share a lively moment, the woman laughing with her head tilted back while the man gazes at her with a soft smile. The background blurs with motion outside the tram, showing streaks of city life in pastel blues, soft oranges, and golden yellows, emphasizing movement. The foreground keeps sharp detail, highlighting the dewdrops on flower petals and the fabric textures of their clothing.

The atmosphere is dreamlike yet vivid, a mix of nostalgic romance and urban energy, with saturated colors, soft natural light, and a gentle interplay of textures from flowers, fabric, and reflections.Ultra-realistic photo of a couple, PNA_men on the left in red clothes and PNA_woman on the right, inside a vintage tram, surrounded by an explosion of lush flowers. On the left, PNA_men wears a deep crimson-red zip-up tracksuit with white piping details over a plain white t-shirt. He holds a small metallic coffee cup in his hand. On the right, PNA_woman, with voluminous curly red hair, wears a navy-blue tracksuit jacket with a small embroidered logo, a loose white t-shirt, and matching navy-blue trousers. Her nails are painted in a mix of bold yellow and deep red, and she wears multiple rings.

The tram’s interior is filled with a riot of colors, as flowers in pink, red, blue, purple, and white burst from every surface—walls, ceiling, seats, and floor. Roses, peonies, hydrangeas, carnations, and lilacs cascade from hanging baskets, climb polished brass handrails, and spill across windowsills. Some petals appear almost neon, glowing under the warm sunlight streaming through the windows, casting colorful reflections onto the couple’s faces.

They share a lively moment, the woman laughing with her head tilted back while the man gazes at her with a soft smile. The background blurs with motion outside the tram, showing streaks of city life in pastel blues, soft oranges, and golden yellows, emphasizing movement. The foreground keeps sharp detail, highlighting the dewdrops on flower petals and the fabric textures of their clothing.

The atmosphere is dreamlike yet vivid, a mix of nostalgic romance and urban energy, with saturated colors, soft natural light, and a gentle interplay of textures from flowers, fabric, and reflections.

Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.

image

file

Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.

mask

file

Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.

aspect_ratio

string

Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode

Default: "1:1"

height

integer

(minimum: 256, maximum: 1440)

Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

width

integer

(minimum: 256, maximum: 1440)

Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image

Default: 0.8

model

string

Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.

Default: "dev"

num_outputs

integer

(minimum: 1, maximum: 4)

Number of outputs to generate

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps. More steps can give more detailed images, but take longer.

Default: 28

guidance_scale

number

(minimum: 0, maximum: 10)

Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5

Default: 3

seed

integer

Random seed. Set for reproducible generation

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

Default: 80

disable_safety_checker

boolean

Disable safety checker for generated images.

Default: false

go_fast

boolean

Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16

Default: false

megapixels

string

Approximate number of megapixels for generated image

Default: "1"

lora_scale

number

(minimum: -1, maximum: 3)

Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Default: 1

extra_lora

string

Shift + Return to add a new line

https://civitai.com/api/download/models/1273564?type=Model&format=SafeTensor&token=ae82acec6ad7050b7f1e3654da2bb265https://civitai.com/api/download/models/1273564?type=Model&format=SafeTensor&token=ae82acec6ad7050b7f1e3654da2bb265

Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'

extra_lora_scale

number

(minimum: -1, maximum: 3)

Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Default: 1

Run this model in Node.js with one line of code:

npx create-replicate --model=biggpt1/pana-video

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run biggpt1/pana-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "biggpt1/pana-video:62a7ca417bd135fdb3468769ec98b8a6042fba49b71999f27cd70f1b7a5abfde",
  {
    input: {
      model: "dev",
      prompt: "Ultra-realistic photo of a couple, PNA_men on the left in red clothes and PNA_woman on the right, inside a vintage tram, surrounded by an explosion of lush flowers. On the left, PNA_men wears a deep crimson-red zip-up tracksuit with white piping details over a plain white t-shirt. He holds a small metallic coffee cup in his hand. On the right, PNA_woman, with voluminous curly red hair, wears a navy-blue tracksuit jacket with a small embroidered logo, a loose white t-shirt, and matching navy-blue trousers. Her nails are painted in a mix of bold yellow and deep red, and she wears multiple rings.\n\nThe tram’s interior is filled with a riot of colors, as flowers in pink, red, blue, purple, and white burst from every surface—walls, ceiling, seats, and floor. Roses, peonies, hydrangeas, carnations, and lilacs cascade from hanging baskets, climb polished brass handrails, and spill across windowsills. Some petals appear almost neon, glowing under the warm sunlight streaming through the windows, casting colorful reflections onto the couple’s faces.\n\nThey share a lively moment, the woman laughing with her head tilted back while the man gazes at her with a soft smile. The background blurs with motion outside the tram, showing streaks of city life in pastel blues, soft oranges, and golden yellows, emphasizing movement. The foreground keeps sharp detail, highlighting the dewdrops on flower petals and the fabric textures of their clothing.\n\nThe atmosphere is dreamlike yet vivid, a mix of nostalgic romance and urban energy, with saturated colors, soft natural light, and a gentle interplay of textures from flowers, fabric, and reflections.",
      go_fast: false,
      extra_lora: "https://civitai.com/api/download/models/1273564?type=Model&format=SafeTensor&token=ae82acec6ad7050b7f1e3654da2bb265",
      lora_scale: 0.82,
      megapixels: "1",
      num_outputs: 4,
      aspect_ratio: "9:16",
      output_format: "png",
      guidance_scale: 2.5,
      output_quality: 80,
      prompt_strength: 0.8,
      extra_lora_scale: 0.68,
      num_inference_steps: 28
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run biggpt1/pana-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "biggpt1/pana-video:62a7ca417bd135fdb3468769ec98b8a6042fba49b71999f27cd70f1b7a5abfde",
    input={
        "model": "dev",
        "prompt": "Ultra-realistic photo of a couple, PNA_men on the left in red clothes and PNA_woman on the right, inside a vintage tram, surrounded by an explosion of lush flowers. On the left, PNA_men wears a deep crimson-red zip-up tracksuit with white piping details over a plain white t-shirt. He holds a small metallic coffee cup in his hand. On the right, PNA_woman, with voluminous curly red hair, wears a navy-blue tracksuit jacket with a small embroidered logo, a loose white t-shirt, and matching navy-blue trousers. Her nails are painted in a mix of bold yellow and deep red, and she wears multiple rings.\n\nThe tram’s interior is filled with a riot of colors, as flowers in pink, red, blue, purple, and white burst from every surface—walls, ceiling, seats, and floor. Roses, peonies, hydrangeas, carnations, and lilacs cascade from hanging baskets, climb polished brass handrails, and spill across windowsills. Some petals appear almost neon, glowing under the warm sunlight streaming through the windows, casting colorful reflections onto the couple’s faces.\n\nThey share a lively moment, the woman laughing with her head tilted back while the man gazes at her with a soft smile. The background blurs with motion outside the tram, showing streaks of city life in pastel blues, soft oranges, and golden yellows, emphasizing movement. The foreground keeps sharp detail, highlighting the dewdrops on flower petals and the fabric textures of their clothing.\n\nThe atmosphere is dreamlike yet vivid, a mix of nostalgic romance and urban energy, with saturated colors, soft natural light, and a gentle interplay of textures from flowers, fabric, and reflections.",
        "go_fast": False,
        "extra_lora": "https://civitai.com/api/download/models/1273564?type=Model&format=SafeTensor&token=ae82acec6ad7050b7f1e3654da2bb265",
        "lora_scale": 0.82,
        "megapixels": "1",
        "num_outputs": 4,
        "aspect_ratio": "9:16",
        "output_format": "png",
        "guidance_scale": 2.5,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 0.68,
        "num_inference_steps": 28
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run biggpt1/pana-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "biggpt1/pana-video:62a7ca417bd135fdb3468769ec98b8a6042fba49b71999f27cd70f1b7a5abfde",
    "input": {
      "model": "dev",
      "prompt": "Ultra-realistic photo of a couple, PNA_men on the left in red clothes and PNA_woman on the right, inside a vintage tram, surrounded by an explosion of lush flowers. On the left, PNA_men wears a deep crimson-red zip-up tracksuit with white piping details over a plain white t-shirt. He holds a small metallic coffee cup in his hand. On the right, PNA_woman, with voluminous curly red hair, wears a navy-blue tracksuit jacket with a small embroidered logo, a loose white t-shirt, and matching navy-blue trousers. Her nails are painted in a mix of bold yellow and deep red, and she wears multiple rings.\\n\\nThe tram’s interior is filled with a riot of colors, as flowers in pink, red, blue, purple, and white burst from every surface—walls, ceiling, seats, and floor. Roses, peonies, hydrangeas, carnations, and lilacs cascade from hanging baskets, climb polished brass handrails, and spill across windowsills. Some petals appear almost neon, glowing under the warm sunlight streaming through the windows, casting colorful reflections onto the couple’s faces.\\n\\nThey share a lively moment, the woman laughing with her head tilted back while the man gazes at her with a soft smile. The background blurs with motion outside the tram, showing streaks of city life in pastel blues, soft oranges, and golden yellows, emphasizing movement. The foreground keeps sharp detail, highlighting the dewdrops on flower petals and the fabric textures of their clothing.\\n\\nThe atmosphere is dreamlike yet vivid, a mix of nostalgic romance and urban energy, with saturated colors, soft natural light, and a gentle interplay of textures from flowers, fabric, and reflections.",
      "go_fast": false,
      "extra_lora": "https://civitai.com/api/download/models/1273564?type=Model&format=SafeTensor&token=ae82acec6ad7050b7f1e3654da2bb265",
      "lora_scale": 0.82,
      "megapixels": "1",
      "num_outputs": 4,
      "aspect_ratio": "9:16",
      "output_format": "png",
      "guidance_scale": 2.5,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 0.68,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2025-02-13T16:57:18.482290Z",
  "created_at": "2025-02-13T16:56:33.197000Z",
  "data_removed": false,
  "error": null,
  "id": "862x5p4ynnrma0cn00ytmvc5x4",
  "input": {
    "model": "dev",
    "prompt": "Ultra-realistic photo of a couple, PNA_men on the left in red clothes and PNA_woman on the right, inside a vintage tram, surrounded by an explosion of lush flowers. On the left, PNA_men wears a deep crimson-red zip-up tracksuit with white piping details over a plain white t-shirt. He holds a small metallic coffee cup in his hand. On the right, PNA_woman, with voluminous curly red hair, wears a navy-blue tracksuit jacket with a small embroidered logo, a loose white t-shirt, and matching navy-blue trousers. Her nails are painted in a mix of bold yellow and deep red, and she wears multiple rings.\n\nThe tram’s interior is filled with a riot of colors, as flowers in pink, red, blue, purple, and white burst from every surface—walls, ceiling, seats, and floor. Roses, peonies, hydrangeas, carnations, and lilacs cascade from hanging baskets, climb polished brass handrails, and spill across windowsills. Some petals appear almost neon, glowing under the warm sunlight streaming through the windows, casting colorful reflections onto the couple’s faces.\n\nThey share a lively moment, the woman laughing with her head tilted back while the man gazes at her with a soft smile. The background blurs with motion outside the tram, showing streaks of city life in pastel blues, soft oranges, and golden yellows, emphasizing movement. The foreground keeps sharp detail, highlighting the dewdrops on flower petals and the fabric textures of their clothing.\n\nThe atmosphere is dreamlike yet vivid, a mix of nostalgic romance and urban energy, with saturated colors, soft natural light, and a gentle interplay of textures from flowers, fabric, and reflections.",
    "go_fast": false,
    "extra_lora": "https://civitai.com/api/download/models/1273564?type=Model&format=SafeTensor&token=ae82acec6ad7050b7f1e3654da2bb265",
    "lora_scale": 0.82,
    "megapixels": "1",
    "num_outputs": 4,
    "aspect_ratio": "9:16",
    "output_format": "png",
    "guidance_scale": 2.5,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 0.68,
    "num_inference_steps": 28
  },
  "logs": "free=27806258122752\nDownloading weights\n2025-02-13T16:56:33Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpt1vuo5u5/weights url=https://replicate.delivery/xezq/fHjDtjTZ692DdK487muGQgxjX0tWc7psKmVjaeZMSbPdq6OUA/trained_model.tar\n2025-02-13T16:56:38Z | INFO  | [ Complete ] dest=/tmp/tmpt1vuo5u5/weights size=\"355 MB\" total_elapsed=4.949s url=https://replicate.delivery/xezq/fHjDtjTZ692DdK487muGQgxjX0tWc7psKmVjaeZMSbPdq6OUA/trained_model.tar\nDownloaded weights in 4.98s\nfree=27805901287424\nDownloading weights\n2025-02-13T16:56:38Z | INFO  | [ Initiating ] chunk_size=150M dest=/src/weights-cache/2546d3e98d5430a5 url=https://civitai.com/api/download/models/1273564?type=Model&format=SafeTensor&token=ae82acec6ad7050b7f1e3654da2bb265\n2025-02-13T16:56:39Z | INFO  | [ Redirect ] redirect_url=https://civitai-delivery-worker-prod.5ac0637cfd0766c97916cefa3764fbdf.r2.cloudflarestorage.com/model/5019728/flower512DevF1K.IGzb.safetensors?X-Amz-Expires=86400&response-content-disposition=attachment%3B%20filename%3D%22flower_512_dev_f1_k.safetensors%22&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=e01358d793ad6966166af8b3064953ad/20250213/us-east-1/s3/aws4_request&X-Amz-Date=20250213T165639Z&X-Amz-SignedHeaders=host&X-Amz-Signature=2daf354b98e79cfa000f21598ff3b7005fd43e9eb38097466dacb3f62bdd5926 url=https://civitai.com/api/download/models/1273564?type=Model&format=SafeTensor&token=ae82acec6ad7050b7f1e3654da2bb265\n2025-02-13T16:56:44Z | INFO  | [ Complete ] dest=/src/weights-cache/2546d3e98d5430a5 size=\"159 MB\" total_elapsed=5.810s url=https://civitai.com/api/download/models/1273564?type=Model&format=SafeTensor&token=ae82acec6ad7050b7f1e3654da2bb265\nDownloaded weights in 5.83s\nLoaded LoRAs in 12.18s\nUsing seed: 61131\nPrompt: Ultra-realistic photo of a couple, PNA_men on the left in red clothes and PNA_woman on the right, inside a vintage tram, surrounded by an explosion of lush flowers. On the left, PNA_men wears a deep crimson-red zip-up tracksuit with white piping details over a plain white t-shirt. He holds a small metallic coffee cup in his hand. On the right, PNA_woman, with voluminous curly red hair, wears a navy-blue tracksuit jacket with a small embroidered logo, a loose white t-shirt, and matching navy-blue trousers. Her nails are painted in a mix of bold yellow and deep red, and she wears multiple rings.\nThe tram’s interior is filled with a riot of colors, as flowers in pink, red, blue, purple, and white burst from every surface—walls, ceiling, seats, and floor. Roses, peonies, hydrangeas, carnations, and lilacs cascade from hanging baskets, climb polished brass handrails, and spill across windowsills. Some petals appear almost neon, glowing under the warm sunlight streaming through the windows, casting colorful reflections onto the couple’s faces.\nThey share a lively moment, the woman laughing with her head tilted back while the man gazes at her with a soft smile. The background blurs with motion outside the tram, showing streaks of city life in pastel blues, soft oranges, and golden yellows, emphasizing movement. The foreground keeps sharp detail, highlighting the dewdrops on flower petals and the fabric textures of their clothing.\nThe atmosphere is dreamlike yet vivid, a mix of nostalgic romance and urban energy, with saturated colors, soft natural light, and a gentle interplay of textures from flowers, fabric, and reflections.\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:29,  1.10s/it]\n  7%|▋         | 2/28 [00:02<00:26,  1.01s/it]\n 11%|█         | 3/28 [00:03<00:26,  1.05s/it]\n 14%|█▍        | 4/28 [00:04<00:25,  1.07s/it]\n 18%|█▊        | 5/28 [00:05<00:24,  1.08s/it]\n 21%|██▏       | 6/28 [00:06<00:23,  1.09s/it]\n 25%|██▌       | 7/28 [00:07<00:23,  1.10s/it]\n 29%|██▊       | 8/28 [00:08<00:21,  1.10s/it]\n 32%|███▏      | 9/28 [00:09<00:20,  1.10s/it]\n 36%|███▌      | 10/28 [00:10<00:19,  1.10s/it]\n 39%|███▉      | 11/28 [00:11<00:18,  1.10s/it]\n 43%|████▎     | 12/28 [00:13<00:17,  1.10s/it]\n 46%|████▋     | 13/28 [00:14<00:16,  1.10s/it]\n 50%|█████     | 14/28 [00:15<00:15,  1.10s/it]\n 54%|█████▎    | 15/28 [00:16<00:14,  1.10s/it]\n 57%|█████▋    | 16/28 [00:17<00:13,  1.11s/it]\n 61%|██████    | 17/28 [00:18<00:12,  1.11s/it]\n 64%|██████▍   | 18/28 [00:19<00:11,  1.11s/it]\n 68%|██████▊   | 19/28 [00:20<00:09,  1.11s/it]\n 71%|███████▏  | 20/28 [00:21<00:08,  1.11s/it]\n 75%|███████▌  | 21/28 [00:23<00:07,  1.11s/it]\n 79%|███████▊  | 22/28 [00:24<00:06,  1.11s/it]\n 82%|████████▏ | 23/28 [00:25<00:05,  1.11s/it]\n 86%|████████▌ | 24/28 [00:26<00:04,  1.11s/it]\n 89%|████████▉ | 25/28 [00:27<00:03,  1.11s/it]\n 93%|█████████▎| 26/28 [00:28<00:02,  1.11s/it]\n 96%|█████████▋| 27/28 [00:29<00:01,  1.11s/it]\n100%|██████████| 28/28 [00:30<00:00,  1.11s/it]\n100%|██████████| 28/28 [00:30<00:00,  1.10s/it]\nTotal safe images: 4 out of 4",
  "metrics": {
    "predict_time": 45.116498385,
    "total_time": 45.28529
  },
  "output": [
    "https://replicate.delivery/xezq/iGlMlxcNe21XJaAJgby9kV84YgGLf6HY290wY0KBc3cuZ9OUA/out-0.png",
    "https://replicate.delivery/xezq/TRNQWvfbnetfyoEOmkyUybujuTfDZLjLwh5x2HRlXAW7m17QB/out-1.png",
    "https://replicate.delivery/xezq/gyLAJzzRBcJAJx0kZGHs0l9VTWe1wD1k03UOeRviGf1dz6doA/out-2.png",
    "https://replicate.delivery/xezq/kxQ5Q1eGWXWyMK8rfVmREeAACkK9w1gwLC0zqqmpSMDdz6doA/out-3.png"
  ],
  "started_at": "2025-02-13T16:56:33.365792Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-snmoevv7f4rierupqzeuyz6efabkehgrdkybnsh5gf36tknwc74a",
    "get": "https://api.replicate.com/v1/predictions/862x5p4ynnrma0cn00ytmvc5x4",
    "cancel": "https://api.replicate.com/v1/predictions/862x5p4ynnrma0cn00ytmvc5x4/cancel"
  },
  "version": "62a7ca417bd135fdb3468769ec98b8a6042fba49b71999f27cd70f1b7a5abfde"
}

Generated in

45.1 seconds

Tweak it ShareReport

free=27806258122752
Downloading weights
2025-02-13T16:56:33Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpt1vuo5u5/weights url=https://replicate.delivery/xezq/fHjDtjTZ692DdK487muGQgxjX0tWc7psKmVjaeZMSbPdq6OUA/trained_model.tar
2025-02-13T16:56:38Z | INFO  | [ Complete ] dest=/tmp/tmpt1vuo5u5/weights size="355 MB" total_elapsed=4.949s url=https://replicate.delivery/xezq/fHjDtjTZ692DdK487muGQgxjX0tWc7psKmVjaeZMSbPdq6OUA/trained_model.tar
Downloaded weights in 4.98s
free=27805901287424
Downloading weights
2025-02-13T16:56:38Z | INFO  | [ Initiating ] chunk_size=150M dest=/src/weights-cache/2546d3e98d5430a5 url=https://civitai.com/api/download/models/1273564?type=Model&format=SafeTensor&token=ae82acec6ad7050b7f1e3654da2bb265
2025-02-13T16:56:39Z | INFO  | [ Redirect ] redirect_url=https://civitai-delivery-worker-prod.5ac0637cfd0766c97916cefa3764fbdf.r2.cloudflarestorage.com/model/5019728/flower512DevF1K.IGzb.safetensors?X-Amz-Expires=86400&response-content-disposition=attachment%3B%20filename%3D%22flower_512_dev_f1_k.safetensors%22&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=e01358d793ad6966166af8b3064953ad/20250213/us-east-1/s3/aws4_request&X-Amz-Date=20250213T165639Z&X-Amz-SignedHeaders=host&X-Amz-Signature=2daf354b98e79cfa000f21598ff3b7005fd43e9eb38097466dacb3f62bdd5926 url=https://civitai.com/api/download/models/1273564?type=Model&format=SafeTensor&token=ae82acec6ad7050b7f1e3654da2bb265
2025-02-13T16:56:44Z | INFO  | [ Complete ] dest=/src/weights-cache/2546d3e98d5430a5 size="159 MB" total_elapsed=5.810s url=https://civitai.com/api/download/models/1273564?type=Model&format=SafeTensor&token=ae82acec6ad7050b7f1e3654da2bb265
Downloaded weights in 5.83s
Loaded LoRAs in 12.18s
Using seed: 61131
Prompt: Ultra-realistic photo of a couple, PNA_men on the left in red clothes and PNA_woman on the right, inside a vintage tram, surrounded by an explosion of lush flowers. On the left, PNA_men wears a deep crimson-red zip-up tracksuit with white piping details over a plain white t-shirt. He holds a small metallic coffee cup in his hand. On the right, PNA_woman, with voluminous curly red hair, wears a navy-blue tracksuit jacket with a small embroidered logo, a loose white t-shirt, and matching navy-blue trousers. Her nails are painted in a mix of bold yellow and deep red, and she wears multiple rings.
The tram’s interior is filled with a riot of colors, as flowers in pink, red, blue, purple, and white burst from every surface—walls, ceiling, seats, and floor. Roses, peonies, hydrangeas, carnations, and lilacs cascade from hanging baskets, climb polished brass handrails, and spill across windowsills. Some petals appear almost neon, glowing under the warm sunlight streaming through the windows, casting colorful reflections onto the couple’s faces.
They share a lively moment, the woman laughing with her head tilted back while the man gazes at her with a soft smile. The background blurs with motion outside the tram, showing streaks of city life in pastel blues, soft oranges, and golden yellows, emphasizing movement. The foreground keeps sharp detail, highlighting the dewdrops on flower petals and the fabric textures of their clothing.
The atmosphere is dreamlike yet vivid, a mix of nostalgic romance and urban energy, with saturated colors, soft natural light, and a gentle interplay of textures from flowers, fabric, and reflections.
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Total safe images: 4 out of 4