biggpt1/zalina 🖼️🔢❓📝✓ → 🖼️
About
Example Output
"Professional photoshoot of a focused woman in her mid-30s with blonde hair, bright skin, and an athletic physique, preparing her morning supplements in a bright, modern kitchen. She wears a relaxed white blouse, gently smiling as soft sunlight streams through a large window, illuminating the clean and vibrant scene. On the counter, a glass of water and fresh strawberries sit alongside an assortment of colorful fruits and supplement jars. The atmosphere is calm and inviting, highlighting natural beauty and healthy lifestyle. The photo features sharp focus and subtle film grain for texture, perfectly suited for an album cover or Pinterest aesthetic. Shot on a Canon R5 with an 85mm prime lens, using natural window light enhanced by soft three-point lighting to emphasize warmth and clarity."
Output


Performance Metrics
All Input Parameters
{
"model": "dev",
"prompt": "Professional photoshoot of a focused woman in her mid-30s with blonde hair, bright skin, and an athletic physique, preparing her morning supplements in a bright, modern kitchen. She wears a relaxed white blouse, gently smiling as soft sunlight streams through a large window, illuminating the clean and vibrant scene. On the counter, a glass of water and fresh strawberries sit alongside an assortment of colorful fruits and supplement jars. The atmosphere is calm and inviting, highlighting natural beauty and healthy lifestyle. The photo features sharp focus and subtle film grain for texture, perfectly suited for an album cover or Pinterest aesthetic. Shot on a Canon R5 with an 85mm prime lens, using natural window light enhanced by soft three-point lighting to emphasize warmth and clarity.\n\n",
"go_fast": false,
"lora_scale": 0.99,
"megapixels": "1",
"num_outputs": 3,
"aspect_ratio": "9:16",
"output_format": "png",
"guidance_scale": 2.28,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"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=26315550875648 Downloading weights 2025-07-01T19:11:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpc2yoj8kd/weights url=https://replicate.delivery/xezq/xHebPX7DrQU0DKCeeY7f5yWhKbEumLbB3KYeWfflYPiGmTKeUA/flux-lora.tar 2025-07-01T19:11:32Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-07-01T19:11:32Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/xHebPX7DrQU0DKCeeY7f5yWhKbEumLbB3KYeWfflYPiGmTKeUA/flux-lora.tar url=https://replicate.delivery/xezq/xHebPX7DrQU0DKCeeY7f5yWhKbEumLbB3KYeWfflYPiGmTKeUA/flux-lora.tar 2025-07-01T19:11:32Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/5cb004cce49543334e2d4db3a404ac110eb295044d068716fb4e88375fdcad83?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250701%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250701T191132Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=eedc58cdba3162f3b5717f886c3646070f1a05fdb86d11b720103c01e47b001d url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/xHebPX7DrQU0DKCeeY7f5yWhKbEumLbB3KYeWfflYPiGmTKeUA/flux-lora.tar 2025-07-01T19:11:32Z | INFO | [ Complete ] dest=/tmp/tmpc2yoj8kd/weights size="172 MB" total_elapsed=0.279s url=https://replicate.delivery/xezq/xHebPX7DrQU0DKCeeY7f5yWhKbEumLbB3KYeWfflYPiGmTKeUA/flux-lora.tar Downloaded weights in 0.34s Loaded LoRAs in 0.85s Using seed: 62114 Prompt: Professional photoshoot of a focused woman in her mid-30s with blonde hair, bright skin, and an athletic physique, preparing her morning supplements in a bright, modern kitchen. She wears a relaxed white blouse, gently smiling as soft sunlight streams through a large window, illuminating the clean and vibrant scene. On the counter, a glass of water and fresh strawberries sit alongside an assortment of colorful fruits and supplement jars. The atmosphere is calm and inviting, highlighting natural beauty and healthy lifestyle. The photo features sharp focus and subtle film grain for texture, perfectly suited for an album cover or Pinterest aesthetic. Shot on a Canon R5 with an 85mm prime lens, using natural window light enhanced by soft three-point lighting to emphasize warmth and clarity. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:19, 1.39it/s] 7%|▋ | 2/28 [00:01<00:16, 1.56it/s] 11%|█ | 3/28 [00:02<00:16, 1.48it/s] 14%|█▍ | 4/28 [00:02<00:16, 1.44it/s] 18%|█▊ | 5/28 [00:03<00:16, 1.42it/s] 21%|██▏ | 6/28 [00:04<00:15, 1.41it/s] 25%|██▌ | 7/28 [00:04<00:14, 1.40it/s] 29%|██▊ | 8/28 [00:05<00:14, 1.40it/s] 32%|███▏ | 9/28 [00:06<00:13, 1.40it/s] 36%|███▌ | 10/28 [00:07<00:12, 1.39it/s] 39%|███▉ | 11/28 [00:07<00:12, 1.39it/s] 43%|████▎ | 12/28 [00:08<00:11, 1.39it/s] 46%|████▋ | 13/28 [00:09<00:10, 1.38it/s] 50%|█████ | 14/28 [00:09<00:10, 1.39it/s] 54%|█████▎ | 15/28 [00:10<00:09, 1.39it/s] 57%|█████▋ | 16/28 [00:11<00:08, 1.39it/s] 61%|██████ | 17/28 [00:12<00:07, 1.39it/s] 64%|██████▍ | 18/28 [00:12<00:07, 1.39it/s] 68%|██████▊ | 19/28 [00:13<00:06, 1.39it/s] 71%|███████▏ | 20/28 [00:14<00:05, 1.39it/s] 75%|███████▌ | 21/28 [00:14<00:05, 1.39it/s] 79%|███████▊ | 22/28 [00:15<00:04, 1.39it/s] 82%|████████▏ | 23/28 [00:16<00:03, 1.39it/s] 86%|████████▌ | 24/28 [00:17<00:02, 1.39it/s] 89%|████████▉ | 25/28 [00:17<00:02, 1.39it/s] 93%|█████████▎| 26/28 [00:18<00:01, 1.39it/s] 96%|█████████▋| 27/28 [00:19<00:00, 1.39it/s] 100%|██████████| 28/28 [00:20<00:00, 1.39it/s] 100%|██████████| 28/28 [00:20<00:00, 1.40it/s] Total safe images: 3 out of 3
Version Details
- Version ID
348b2a07c616e651a4e496706ad42ca1e28f4599bae0229f20a5b94e22d21db7- Version Created
- July 1, 2025