dave0z/kcafry10004865 πΌοΈπ’βπβ β πΌοΈ
About
Example Output
"A close-up photo of the kcafry10004865 Kitchen Couture Air Fryer positioned on a sleek, modern kitchen countertop. The air fryerβs digital display panel is illuminated, showing a timer set for 5 minutes at 180Β°C. Inside the fryer, two trays filled with golden, flaky croissants are visible, glowing under the warm interior light. The matte black exterior with side vents gives the appliance a premium and robust appearance. In the background, a coffee maker, a potted plant, and a ceramic container add a cozy and inviting feel to the setting. A steaming cup of coffee and a plate with more freshly baked croissants sit beside the air fryer, enhancing the imageβs warm, homely atmosphere, and showcasing the applianceβs versatility in baking and toasting pastries."
Output
Performance Metrics
All Input Parameters
{
"model": "dev",
"prompt": "A close-up photo of the kcafry10004865 Kitchen Couture Air Fryer positioned on a sleek, modern kitchen countertop. The air fryerβs digital display panel is illuminated, showing a timer set for 5 minutes at 180Β°C. Inside the fryer, two trays filled with golden, flaky croissants are visible, glowing under the warm interior light. The matte black exterior with side vents gives the appliance a premium and robust appearance. In the background, a coffee maker, a potted plant, and a ceramic container add a cozy and inviting feel to the setting. A steaming cup of coffee and a plate with more freshly baked croissants sit beside the air fryer, enhancing the imageβs warm, homely atmosphere, and showcasing the applianceβs versatility in baking and toasting pastries.",
"lora_scale": 1,
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 90,
"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
Using seed: 28520 Prompt: A close-up photo of the kcafry10004865 Kitchen Couture Air Fryer positioned on a sleek, modern kitchen countertop. The air fryerβs digital display panel is illuminated, showing a timer set for 5 minutes at 180Β°C. Inside the fryer, two trays filled with golden, flaky croissants are visible, glowing under the warm interior light. The matte black exterior with side vents gives the appliance a premium and robust appearance. In the background, a coffee maker, a potted plant, and a ceramic container add a cozy and inviting feel to the setting. A steaming cup of coffee and a plate with more freshly baked croissants sit beside the air fryer, enhancing the imageβs warm, homely atmosphere, and showcasing the applianceβs versatility in baking and toasting pastries. [!] txt2img mode Using dev model free=6704102629376 Downloading weights 2024-10-29T23:37:51Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpsme5tm9b/weights url=https://replicate.delivery/yhqm/RfeSjVUReDfCZQgv0abRQYuylxmWfmFbvD64tWyFDseTts46E/trained_model.tar 2024-10-29T23:37:52Z | INFO | [ Complete ] dest=/tmp/tmpsme5tm9b/weights size="172 MB" total_elapsed=1.419s url=https://replicate.delivery/yhqm/RfeSjVUReDfCZQgv0abRQYuylxmWfmFbvD64tWyFDseTts46E/trained_model.tar Downloaded weights in 1.45s Loaded LoRAs in 2.03s 0%| | 0/28 [00:00<?, ?it/s] 4%|β | 1/28 [00:00<00:09, 2.88it/s] 7%|β | 2/28 [00:00<00:08, 3.21it/s] 11%|β | 3/28 [00:00<00:08, 3.05it/s] 14%|ββ | 4/28 [00:01<00:08, 2.98it/s] 18%|ββ | 5/28 [00:01<00:07, 2.94it/s] 21%|βββ | 6/28 [00:02<00:07, 2.92it/s] 25%|βββ | 7/28 [00:02<00:07, 2.91it/s] 29%|βββ | 8/28 [00:02<00:06, 2.90it/s] 32%|ββββ | 9/28 [00:03<00:06, 2.89it/s] 36%|ββββ | 10/28 [00:03<00:06, 2.89it/s] 39%|ββββ | 11/28 [00:03<00:05, 2.89it/s] 43%|βββββ | 12/28 [00:04<00:05, 2.88it/s] 46%|βββββ | 13/28 [00:04<00:05, 2.88it/s] 50%|βββββ | 14/28 [00:04<00:04, 2.88it/s] 54%|ββββββ | 15/28 [00:05<00:04, 2.88it/s] 57%|ββββββ | 16/28 [00:05<00:04, 2.88it/s] 61%|ββββββ | 17/28 [00:05<00:03, 2.88it/s] 64%|βββββββ | 18/28 [00:06<00:03, 2.88it/s] 68%|βββββββ | 19/28 [00:06<00:03, 2.88it/s] 71%|ββββββββ | 20/28 [00:06<00:02, 2.88it/s] 75%|ββββββββ | 21/28 [00:07<00:02, 2.88it/s] 79%|ββββββββ | 22/28 [00:07<00:02, 2.88it/s] 82%|βββββββββ | 23/28 [00:07<00:01, 2.88it/s] 86%|βββββββββ | 24/28 [00:08<00:01, 2.88it/s] 89%|βββββββββ | 25/28 [00:08<00:01, 2.88it/s] 93%|ββββββββββ| 26/28 [00:08<00:00, 2.88it/s] 96%|ββββββββββ| 27/28 [00:09<00:00, 2.88it/s] 100%|ββββββββββ| 28/28 [00:09<00:00, 2.88it/s] 100%|ββββββββββ| 28/28 [00:09<00:00, 2.90it/s]
Version Details
- Version ID
0ae3799146de3d371eddb4be04eaddbcf4b51f33ce580f5160f763b07d18a286- Version Created
- October 29, 2024