biggpt1/pana-video πΌοΈπ’βπβ β πΌοΈ
About
Example Output
"
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 tramβs interior is filled with a riot of colors, as flowers in pink, red, blue, purple, and white burst from every surfaceβwalls, 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 coupleβs 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.
"Output



Performance Metrics
All Input Parameters
{
"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 tramβs interior is filled with a riot of colors, as flowers in pink, red, blue, purple, and white burst from every surfaceβwalls, 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 coupleβs 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
}
Input Parameters
- mask
- Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- seed
- Random seed. Set for reproducible generation
- image
- Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- model
- Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.
- width
- 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
- height
- 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
- prompt (required)
- 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.
- go_fast
- Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16
- extra_lora
- 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'
- lora_scale
- 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.
- megapixels
- Approximate number of megapixels for generated image
- num_outputs
- Number of outputs to generate
- aspect_ratio
- Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode
- output_format
- Format of the output images
- guidance_scale
- 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
- output_quality
- Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
- prompt_strength
- Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
- extra_lora_scale
- 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.
- replicate_weights
- 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'
- num_inference_steps
- Number of denoising steps. More steps can give more detailed images, but take longer.
- disable_safety_checker
- Disable safety checker for generated images.
Output Schema
Output
Example Execution Logs
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 tramβs interior is filled with a riot of colors, as flowers in pink, red, blue, purple, and white burst from every surfaceβwalls, 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 coupleβs 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. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|β | 1/28 [00:01<00:29, 1.10s/it] 7%|β | 2/28 [00:02<00:26, 1.01s/it] 11%|β | 3/28 [00:03<00:26, 1.05s/it] 14%|ββ | 4/28 [00:04<00:25, 1.07s/it] 18%|ββ | 5/28 [00:05<00:24, 1.08s/it] 21%|βββ | 6/28 [00:06<00:23, 1.09s/it] 25%|βββ | 7/28 [00:07<00:23, 1.10s/it] 29%|βββ | 8/28 [00:08<00:21, 1.10s/it] 32%|ββββ | 9/28 [00:09<00:20, 1.10s/it] 36%|ββββ | 10/28 [00:10<00:19, 1.10s/it] 39%|ββββ | 11/28 [00:11<00:18, 1.10s/it] 43%|βββββ | 12/28 [00:13<00:17, 1.10s/it] 46%|βββββ | 13/28 [00:14<00:16, 1.10s/it] 50%|βββββ | 14/28 [00:15<00:15, 1.10s/it] 54%|ββββββ | 15/28 [00:16<00:14, 1.10s/it] 57%|ββββββ | 16/28 [00:17<00:13, 1.11s/it] 61%|ββββββ | 17/28 [00:18<00:12, 1.11s/it] 64%|βββββββ | 18/28 [00:19<00:11, 1.11s/it] 68%|βββββββ | 19/28 [00:20<00:09, 1.11s/it] 71%|ββββββββ | 20/28 [00:21<00:08, 1.11s/it] 75%|ββββββββ | 21/28 [00:23<00:07, 1.11s/it] 79%|ββββββββ | 22/28 [00:24<00:06, 1.11s/it] 82%|βββββββββ | 23/28 [00:25<00:05, 1.11s/it] 86%|βββββββββ | 24/28 [00:26<00:04, 1.11s/it] 89%|βββββββββ | 25/28 [00:27<00:03, 1.11s/it] 93%|ββββββββββ| 26/28 [00:28<00:02, 1.11s/it] 96%|ββββββββββ| 27/28 [00:29<00:01, 1.11s/it] 100%|ββββββββββ| 28/28 [00:30<00:00, 1.11s/it] 100%|ββββββββββ| 28/28 [00:30<00:00, 1.10s/it] Total safe images: 4 out of 4
Version Details
- Version ID
62a7ca417bd135fdb3468769ec98b8a6042fba49b71999f27cd70f1b7a5abfde- Version Created
- February 13, 2025