mayoita/avata 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"A beautiful ava with tight hair show ear in a black dress, in the style of Helmut Newton. The soft lighting creates a portrait with a dynamic pose. The black-and-white image has a grainy texture, captured with a vintage film camera and large-format analog lens."
Output
Performance Metrics
13.76s
Prediction Time
13.84s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "A beautiful ava with tight hair show ear in a black dress, in the style of Helmut Newton. The soft lighting creates a portrait with a dynamic pose. The black-and-white image has a grainy texture, captured with a vintage film camera and large-format analog lens.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 2.79,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 48
}
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=23567089721344 Downloading weights 2025-07-19T22:22:37Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpj1teat5b/weights url=https://replicate.delivery/xezq/ecrcti8veYi2tEcWcpMHe2DJ17846ZyeypmFe3ZjAoaGglToC/trained_model.tar 2025-07-19T22:22:37Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-07-19T22:22:37Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/ecrcti8veYi2tEcWcpMHe2DJ17846ZyeypmFe3ZjAoaGglToC/trained_model.tar url=https://replicate.delivery/xezq/ecrcti8veYi2tEcWcpMHe2DJ17846ZyeypmFe3ZjAoaGglToC/trained_model.tar 2025-07-19T22:22:37Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/b6025a6996a60d1a9509e42f501cfef5a2a1b34c666487b570c2368e2884d590?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250719%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250719T222237Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=01d2f1e1fe195b26b1149f67a1acd5bd0656b76972ee1514e853c43236df3567 url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/ecrcti8veYi2tEcWcpMHe2DJ17846ZyeypmFe3ZjAoaGglToC/trained_model.tar 2025-07-19T22:22:38Z | INFO | [ Complete ] dest=/tmp/tmpj1teat5b/weights size="172 MB" total_elapsed=0.281s url=https://replicate.delivery/xezq/ecrcti8veYi2tEcWcpMHe2DJ17846ZyeypmFe3ZjAoaGglToC/trained_model.tar Downloaded weights in 0.34s Loaded LoRAs in 0.94s Using seed: 55088 Prompt: A beautiful ava with tight hair show ear in a black dress, in the style of Helmut Newton. The soft lighting creates a portrait with a dynamic pose. The black-and-white image has a grainy texture, captured with a vintage film camera and large-format analog lens. [!] txt2img mode 0%| | 0/48 [00:00<?, ?it/s] 2%|▏ | 1/48 [00:00<00:12, 3.82it/s] 4%|▍ | 2/48 [00:00<00:10, 4.33it/s] 6%|▋ | 3/48 [00:00<00:11, 4.09it/s] 8%|▊ | 4/48 [00:00<00:11, 3.98it/s] 10%|█ | 5/48 [00:01<00:10, 3.92it/s] 12%|█▎ | 6/48 [00:01<00:10, 3.88it/s] 15%|█▍ | 7/48 [00:01<00:10, 3.86it/s] 17%|█▋ | 8/48 [00:02<00:10, 3.85it/s] 19%|█▉ | 9/48 [00:02<00:10, 3.84it/s] 21%|██ | 10/48 [00:02<00:09, 3.83it/s] 23%|██▎ | 11/48 [00:02<00:09, 3.82it/s] 25%|██▌ | 12/48 [00:03<00:09, 3.82it/s] 27%|██▋ | 13/48 [00:03<00:09, 3.82it/s] 29%|██▉ | 14/48 [00:03<00:08, 3.81it/s] 31%|███▏ | 15/48 [00:03<00:08, 3.82it/s] 33%|███▎ | 16/48 [00:04<00:08, 3.81it/s] 35%|███▌ | 17/48 [00:04<00:08, 3.82it/s] 38%|███▊ | 18/48 [00:04<00:07, 3.82it/s] 40%|███▉ | 19/48 [00:04<00:07, 3.81it/s] 42%|████▏ | 20/48 [00:05<00:07, 3.81it/s] 44%|████▍ | 21/48 [00:05<00:07, 3.81it/s] 46%|████▌ | 22/48 [00:05<00:06, 3.81it/s] 48%|████▊ | 23/48 [00:05<00:06, 3.81it/s] 50%|█████ | 24/48 [00:06<00:06, 3.81it/s] 52%|█████▏ | 25/48 [00:06<00:06, 3.81it/s] 54%|█████▍ | 26/48 [00:06<00:05, 3.81it/s] 56%|█████▋ | 27/48 [00:07<00:05, 3.80it/s] 58%|█████▊ | 28/48 [00:07<00:05, 3.80it/s] 60%|██████ | 29/48 [00:07<00:04, 3.81it/s] 62%|██████▎ | 30/48 [00:07<00:04, 3.81it/s] 65%|██████▍ | 31/48 [00:08<00:04, 3.81it/s] 67%|██████▋ | 32/48 [00:08<00:04, 3.81it/s] 69%|██████▉ | 33/48 [00:08<00:03, 3.81it/s] 71%|███████ | 34/48 [00:08<00:03, 3.81it/s] 73%|███████▎ | 35/48 [00:09<00:03, 3.81it/s] 75%|███████▌ | 36/48 [00:09<00:03, 3.81it/s] 77%|███████▋ | 37/48 [00:09<00:02, 3.82it/s] 79%|███████▉ | 38/48 [00:09<00:02, 3.81it/s] 81%|████████▏ | 39/48 [00:10<00:02, 3.81it/s] 83%|████████▎ | 40/48 [00:10<00:02, 3.81it/s] 85%|████████▌ | 41/48 [00:10<00:01, 3.81it/s] 88%|████████▊ | 42/48 [00:10<00:01, 3.81it/s] 90%|████████▉ | 43/48 [00:11<00:01, 3.81it/s] 92%|█████████▏| 44/48 [00:11<00:01, 3.81it/s] 94%|█████████▍| 45/48 [00:11<00:00, 3.82it/s] 96%|█████████▌| 46/48 [00:12<00:00, 3.82it/s] 98%|█████████▊| 47/48 [00:12<00:00, 3.82it/s] 100%|██████████| 48/48 [00:12<00:00, 3.82it/s] 100%|██████████| 48/48 [00:12<00:00, 3.83it/s] Total safe images: 1 out of 1
Version Details
- Version ID
4bc77c2f4e6ed34903377ba2894bb6fab78589c7db00204d1e6f19a7d572611b- Version Created
- July 19, 2025