eagle13colab/bryan š¼ļøš¢āšā ā š¼ļø
About
Loves to wear nice Suits.
Example Output
Prompt:
"
Write a Prompt for replicate and the trigger word for the ma.
A Bks is up on stage at a concert. He is playing a Epiphone acoustic guitar and is dressed in a 10,000 $ suit. The concert is located on a Hawaii beach. It has a beautiful paradise feeling.. with palm trees.. the crowd there to see the show are all sexy beautiful woman.. wearing bathing suits.. they are cheering , clapping enjoying the show.. and the all love Bks. The woman are of all races and ethnicity.. from black, to Asian, to Mexican to Russian..
Ā
"Output
Performance Metrics
9.39s
Prediction Time
9.40s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "Write a Prompt for replicate and the trigger word for the ma. \n\nA Bks is up on stage at a concert. He is playing a Epiphone acoustic guitar and is dressed in a 10,000 $ suit. The concert is located on a Hawaii beach. It has a beautiful paradise feeling.. with palm trees.. the crowd there to see the show are all sexy beautiful woman.. wearing bathing suits.. they are cheering , clapping enjoying the show.. and the all love Bks. The woman are of all races and ethnicity.. from black, to Asian, to Mexican to Russian..\n\n\n\n\n\n\n\n\n\n\nĀ \n\n\n\n\n\n",
"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: 11409 Prompt: Write a Prompt for replicate and the trigger word for the ma. A Bks is up on stage at a concert. He is playing a Epiphone acoustic guitar and is dressed in a 10,000 $ suit. The concert is located on a Hawaii beach. It has a beautiful paradise feeling.. with palm trees.. the crowd there to see the show are all sexy beautiful woman.. wearing bathing suits.. they are cheering , clapping enjoying the show.. and the all love Bks. The woman are of all races and ethnicity.. from black, to Asian, to Mexican to Russian.. [!] txt2img mode Using dev model Weights already loaded Loaded LoRAs in 0.02s 0%| | 0/28 [00:00<?, ?it/s] 4%|ā | 1/28 [00:00<00:08, 3.07it/s] 7%|ā | 2/28 [00:00<00:07, 3.43it/s] 11%|ā | 3/28 [00:00<00:07, 3.25it/s] 14%|āā | 4/28 [00:01<00:07, 3.18it/s] 18%|āā | 5/28 [00:01<00:07, 3.14it/s] 21%|āāā | 6/28 [00:01<00:07, 3.12it/s] 25%|āāā | 7/28 [00:02<00:06, 3.10it/s] 29%|āāā | 8/28 [00:02<00:06, 3.09it/s] 32%|āāāā | 9/28 [00:02<00:06, 3.08it/s] 36%|āāāā | 10/28 [00:03<00:05, 3.08it/s] 39%|āāāā | 11/28 [00:03<00:05, 3.08it/s] 43%|āāāāā | 12/28 [00:03<00:05, 3.07it/s] 46%|āāāāā | 13/28 [00:04<00:04, 3.07it/s] 50%|āāāāā | 14/28 [00:04<00:04, 3.07it/s] 54%|āāāāāā | 15/28 [00:04<00:04, 3.07it/s] 57%|āāāāāā | 16/28 [00:05<00:03, 3.07it/s] 61%|āāāāāā | 17/28 [00:05<00:03, 3.07it/s] 64%|āāāāāāā | 18/28 [00:05<00:03, 3.07it/s] 68%|āāāāāāā | 19/28 [00:06<00:02, 3.06it/s] 71%|āāāāāāāā | 20/28 [00:06<00:02, 3.07it/s] 75%|āāāāāāāā | 21/28 [00:06<00:02, 3.06it/s] 79%|āāāāāāāā | 22/28 [00:07<00:01, 3.06it/s] 82%|āāāāāāāāā | 23/28 [00:07<00:01, 3.06it/s] 86%|āāāāāāāāā | 24/28 [00:07<00:01, 3.07it/s] 89%|āāāāāāāāā | 25/28 [00:08<00:00, 3.07it/s] 93%|āāāāāāāāāā| 26/28 [00:08<00:00, 3.07it/s] 96%|āāāāāāāāāā| 27/28 [00:08<00:00, 3.07it/s] 100%|āāāāāāāāāā| 28/28 [00:09<00:00, 3.07it/s] 100%|āāāāāāāāāā| 28/28 [00:09<00:00, 3.09it/s]
Version Details
- Version ID
346f37f6168424de9b87b11a100b661a1284aecb44c0f2096d5d4b985acab638- Version Created
- September 19, 2024