davidetorre12/acquaforte 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"A mythical phoenix with massive wings of fire perches on a jagged rock in the middle of a stormy sea. The waves crash violently against the dark, sharp cliffs, sending white foam and mist into the air. The scene is depicted in the style of an intricate aquaforte (etching engraving), with deep cross-hatching, fine lines, and high contrast between shadows and highlights. The phoenix’s feathers are detailed with bold strokes, giving the illusion of both texture and movement, as if its fiery wings could ignite the stormy sky. The composition is dramatic, with the sea in turmoil, dark clouds swirling above, and the bird standing as a majestic, almost divine figure against the chaos of nature. The whole scene has a timeless, classical etching aesthetic TOKFORTE"
Output
Performance Metrics
29.09s
Prediction Time
29.13s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "A mythical phoenix with massive wings of fire perches on a jagged rock in the middle of a stormy sea. The waves crash violently against the dark, sharp cliffs, sending white foam and mist into the air. The scene is depicted in the style of an intricate aquaforte (etching engraving), with deep cross-hatching, fine lines, and high contrast between shadows and highlights. The phoenix’s feathers are detailed with bold strokes, giving the illusion of both texture and movement, as if its fiery wings could ignite the stormy sky. The composition is dramatic, with the sea in turmoil, dark clouds swirling above, and the bird standing as a majestic, almost divine figure against the chaos of nature. The whole scene has a timeless, classical etching aesthetic TOKFORTE",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "1:1",
"output_format": "jpg",
"guidance_scale": 3,
"output_quality": 100,
"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=28670728589312 Downloading weights 2025-02-11T09:30:01Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp10m1vu7i/weights url=https://replicate.delivery/xezq/fzRgSLTCxy2cTi1wDgzKaO7wfLLYZ3jeImayTNrZIeQ9Ny4QB/trained_model.tar 2025-02-11T09:30:03Z | INFO | [ Complete ] dest=/tmp/tmp10m1vu7i/weights size="172 MB" total_elapsed=1.934s url=https://replicate.delivery/xezq/fzRgSLTCxy2cTi1wDgzKaO7wfLLYZ3jeImayTNrZIeQ9Ny4QB/trained_model.tar Downloaded weights in 1.96s Loaded LoRAs in 2.50s Using seed: 28224 Prompt: A mythical phoenix with massive wings of fire perches on a jagged rock in the middle of a stormy sea. The waves crash violently against the dark, sharp cliffs, sending white foam and mist into the air. The scene is depicted in the style of an intricate aquaforte (etching engraving), with deep cross-hatching, fine lines, and high contrast between shadows and highlights. The phoenix’s feathers are detailed with bold strokes, giving the illusion of both texture and movement, as if its fiery wings could ignite the stormy sky. The composition is dramatic, with the sea in turmoil, dark clouds swirling above, and the bird standing as a majestic, almost divine figure against the chaos of nature. The whole scene has a timeless, classical etching aesthetic TOKFORTE [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:24, 1.09it/s] 7%|▋ | 2/28 [00:01<00:21, 1.22it/s] 11%|█ | 3/28 [00:02<00:21, 1.15it/s] 14%|█▍ | 4/28 [00:03<00:21, 1.12it/s] 18%|█▊ | 5/28 [00:04<00:20, 1.11it/s] 21%|██▏ | 6/28 [00:05<00:20, 1.10it/s] 25%|██▌ | 7/28 [00:06<00:19, 1.09it/s] 29%|██▊ | 8/28 [00:07<00:18, 1.09it/s] 32%|███▏ | 9/28 [00:08<00:17, 1.08it/s] 36%|███▌ | 10/28 [00:09<00:16, 1.08it/s] 39%|███▉ | 11/28 [00:10<00:15, 1.08it/s] 43%|████▎ | 12/28 [00:10<00:14, 1.08it/s] 46%|████▋ | 13/28 [00:11<00:13, 1.08it/s] 50%|█████ | 14/28 [00:12<00:12, 1.08it/s] 54%|█████▎ | 15/28 [00:13<00:12, 1.08it/s] 57%|█████▋ | 16/28 [00:14<00:11, 1.08it/s] 61%|██████ | 17/28 [00:15<00:10, 1.08it/s] 64%|██████▍ | 18/28 [00:16<00:09, 1.08it/s] 68%|██████▊ | 19/28 [00:17<00:08, 1.08it/s] 71%|███████▏ | 20/28 [00:18<00:07, 1.08it/s] 75%|███████▌ | 21/28 [00:19<00:06, 1.08it/s] 79%|███████▊ | 22/28 [00:20<00:05, 1.08it/s] 82%|████████▏ | 23/28 [00:21<00:04, 1.08it/s] 86%|████████▌ | 24/28 [00:22<00:03, 1.08it/s] 89%|████████▉ | 25/28 [00:23<00:02, 1.08it/s] 93%|█████████▎| 26/28 [00:23<00:01, 1.08it/s] 96%|█████████▋| 27/28 [00:24<00:00, 1.08it/s] 100%|██████████| 28/28 [00:25<00:00, 1.08it/s] 100%|██████████| 28/28 [00:25<00:00, 1.09it/s] Total safe images: 4 out of 4
Version Details
- Version ID
2ed4ccbe9edd6a9e9d2ba4acaa15f46633b70a10a4880056e6d8e5c1b5aaf43c- Version Created
- February 11, 2025