hyperpotatoesx/mengov2 🖼️🔢❓📝✓ → 🖼️
About

Example Output
"a Mengo Yokoyari style image of Ai Hoshino a vibrant and colorful anime character with long, flowing purple hair, partly held back by a large hairpiece featuring a smiling bunny with wings and yellow stars. The character's wide, expressive eyes are filled with an array of colors resembling a galaxy, with star-like reflections. They wear a voluminous dress layered with shades of purple, pink, and blue, and intricate ruffles around the shoulders and neckline. The dress features a prominent, luminous butterfly motif at the chest, emitting light with sparkling energy lines. One arm is raised with a red-gloved hand making a peace sign beside their head, while the other arm is slightly in the background. The background is simple and white, allowing the character's vividness and whimsical elements like small black stars floating around them to stand out."
Output




Performance Metrics
All Input Parameters
{ "model": "dev", "prompt": "a Mengo Yokoyari style image of Ai Hoshino a vibrant and colorful anime character with long, flowing purple hair, partly held back by a large hairpiece featuring a smiling bunny with wings and yellow stars. The character's wide, expressive eyes are filled with an array of colors resembling a galaxy, with star-like reflections. They wear a voluminous dress layered with shades of purple, pink, and blue, and intricate ruffles around the shoulders and neckline. The dress features a prominent, luminous butterfly motif at the chest, emitting light with sparkling energy lines. One arm is raised with a red-gloved hand making a peace sign beside their head, while the other arm is slightly in the background. The background is simple and white, allowing the character's vividness and whimsical elements like small black stars floating around them to stand out.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "4:3", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 35 }
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: 9847 Prompt: a Mengo Yokoyari style image of Ai Hoshino a vibrant and colorful anime character with long, flowing purple hair, partly held back by a large hairpiece featuring a smiling bunny with wings and yellow stars. The character's wide, expressive eyes are filled with an array of colors resembling a galaxy, with star-like reflections. They wear a voluminous dress layered with shades of purple, pink, and blue, and intricate ruffles around the shoulders and neckline. The dress features a prominent, luminous butterfly motif at the chest, emitting light with sparkling energy lines. One arm is raised with a red-gloved hand making a peace sign beside their head, while the other arm is slightly in the background. The background is simple and white, allowing the character's vividness and whimsical elements like small black stars floating around them to stand out. [!] txt2img mode Using dev model free=29408575250432 Downloading weights 2024-11-25T08:22:37Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmppphqkjp7/weights url=https://replicate.delivery/xezq/iKB8BJDzqB4xEBge032bftgjVXe9K5PIR19DP8s9ImJxC4onA/trained_model.tar 2024-11-25T08:22:40Z | INFO | [ Complete ] dest=/tmp/tmppphqkjp7/weights size="258 MB" total_elapsed=2.647s url=https://replicate.delivery/xezq/iKB8BJDzqB4xEBge032bftgjVXe9K5PIR19DP8s9ImJxC4onA/trained_model.tar Downloaded weights in 2.68s Loaded LoRAs in 3.57s 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:40, 1.19s/it] 6%|▌ | 2/35 [00:02<00:35, 1.07s/it] 9%|▊ | 3/35 [00:03<00:36, 1.13s/it] 11%|█▏ | 4/35 [00:04<00:35, 1.15s/it] 14%|█▍ | 5/35 [00:05<00:34, 1.17s/it] 17%|█▋ | 6/35 [00:06<00:34, 1.18s/it] 20%|██ | 7/35 [00:08<00:33, 1.18s/it] 23%|██▎ | 8/35 [00:09<00:32, 1.19s/it] 26%|██▌ | 9/35 [00:10<00:30, 1.19s/it] 29%|██▊ | 10/35 [00:11<00:29, 1.19s/it] 31%|███▏ | 11/35 [00:12<00:28, 1.19s/it] 34%|███▍ | 12/35 [00:14<00:27, 1.19s/it] 37%|███▋ | 13/35 [00:15<00:26, 1.19s/it] 40%|████ | 14/35 [00:16<00:25, 1.19s/it] 43%|████▎ | 15/35 [00:17<00:23, 1.19s/it] 46%|████▌ | 16/35 [00:18<00:22, 1.19s/it] 49%|████▊ | 17/35 [00:20<00:21, 1.19s/it] 51%|█████▏ | 18/35 [00:21<00:20, 1.19s/it] 54%|█████▍ | 19/35 [00:22<00:19, 1.19s/it] 57%|█████▋ | 20/35 [00:23<00:17, 1.19s/it] 60%|██████ | 21/35 [00:24<00:16, 1.19s/it] 63%|██████▎ | 22/35 [00:26<00:15, 1.19s/it] 66%|██████▌ | 23/35 [00:27<00:14, 1.19s/it] 69%|██████▊ | 24/35 [00:28<00:13, 1.20s/it] 71%|███████▏ | 25/35 [00:29<00:11, 1.20s/it] 74%|███████▍ | 26/35 [00:30<00:10, 1.20s/it] 77%|███████▋ | 27/35 [00:32<00:09, 1.19s/it] 80%|████████ | 28/35 [00:33<00:08, 1.20s/it] 83%|████████▎ | 29/35 [00:34<00:07, 1.20s/it] 86%|████████▌ | 30/35 [00:35<00:05, 1.20s/it] 89%|████████▊ | 31/35 [00:36<00:04, 1.20s/it] 91%|█████████▏| 32/35 [00:38<00:03, 1.20s/it] 94%|█████████▍| 33/35 [00:39<00:02, 1.20s/it] 97%|█████████▋| 34/35 [00:40<00:01, 1.20s/it] 100%|██████████| 35/35 [00:41<00:00, 1.20s/it] 100%|██████████| 35/35 [00:41<00:00, 1.19s/it]
Version Details
- Version ID
822c15b21bc9f37de68d720d4b010a8fe76fb8039d9d0fe61f3eafda19328f01
- Version Created
- November 25, 2024