colinmcdonnell22/ghiblify 🖼️🔢❓📝✓ → 🖼️
About

Example Output
Prompt:
"recreate this image in the style of ghibli"
Output

Performance Metrics
9.55s
Prediction Time
9.58s
Total Time
All Input Parameters
{ "image": "https://replicate.delivery/pbxt/MjG5tBfn8ZkV6vgBMwQ8YH8gSlDGh0IOng2eURSSkzg4lPcu/Screenshot%202025-02-28%20at%201.12.06%E2%80%AFPM.png", "model": "dev", "prompt": "recreate this image in the style of ghibli", "go_fast": false, "lora_scale": 0.95, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 100, "prompt_strength": 0.65, "extra_lora_scale": 1, "num_inference_steps": 32 }
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=26433366798336 Downloading weights 2025-03-26T22:30:07Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp_2gs7mjq/weights url=https://replicate.delivery/xezq/6isGxewRmSUwMqNfnYHOkcxj3k1IPUMRo8yNklWk5LbCEjcUA/trained_model.tar 2025-03-26T22:30:09Z | INFO | [ Complete ] dest=/tmp/tmp_2gs7mjq/weights size="172 MB" total_elapsed=2.195s url=https://replicate.delivery/xezq/6isGxewRmSUwMqNfnYHOkcxj3k1IPUMRo8yNklWk5LbCEjcUA/trained_model.tar Downloaded weights in 2.22s Loaded LoRAs in 2.80s Using seed: 62803 Prompt: recreate this image in the style of ghibli Input image size: 1900x1063 [!] Resizing input image from 1900x1063 to 1440x816 [!] img2img mode 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:04, 4.01it/s] 10%|▉ | 2/21 [00:00<00:05, 3.66it/s] 14%|█▍ | 3/21 [00:00<00:05, 3.55it/s] 19%|█▉ | 4/21 [00:01<00:04, 3.50it/s] 24%|██▍ | 5/21 [00:01<00:04, 3.48it/s] 29%|██▊ | 6/21 [00:01<00:04, 3.46it/s] 33%|███▎ | 7/21 [00:01<00:04, 3.45it/s] 38%|███▊ | 8/21 [00:02<00:03, 3.45it/s] 43%|████▎ | 9/21 [00:02<00:03, 3.44it/s] 48%|████▊ | 10/21 [00:02<00:03, 3.44it/s] 52%|█████▏ | 11/21 [00:03<00:02, 3.44it/s] 57%|█████▋ | 12/21 [00:03<00:02, 3.44it/s] 62%|██████▏ | 13/21 [00:03<00:02, 3.44it/s] 67%|██████▋ | 14/21 [00:04<00:02, 3.44it/s] 71%|███████▏ | 15/21 [00:04<00:01, 3.44it/s] 76%|███████▌ | 16/21 [00:04<00:01, 3.42it/s] 81%|████████ | 17/21 [00:04<00:01, 3.42it/s] 86%|████████▌ | 18/21 [00:05<00:00, 3.40it/s] 90%|█████████ | 19/21 [00:05<00:00, 3.44it/s] 95%|█████████▌| 20/21 [00:05<00:00, 3.44it/s] 100%|██████████| 21/21 [00:06<00:00, 3.44it/s] 100%|██████████| 21/21 [00:06<00:00, 3.46it/s] Total safe images: 1 out of 1
Version Details
- Version ID
b4014c6ade5c1ac4c0d90ee5ea26ee9cf56ad28ee8a705737a0be6cdfdc3ac2a
- Version Created
- March 26, 2025