vovrog/envir 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"klya in jungle "
Output
Performance Metrics
3.38s
Prediction Time
3.66s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/NKGyaOLx5oVlFM0gsAFdRftj4KtKgYd7OaT39ju29Nlvya7b/image.png",
"model": "dev",
"prompt": "klya in jungle ",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 6,
"output_quality": 80,
"prompt_strength": 0.1,
"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
free=25426939781120 Downloading weights 2025-07-09T05:10:47Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpqv15gc93/weights url=https://replicate.delivery/xezq/HfcUSzoVeNgOD08cfKeNJRXp6SwHEyNk0AqXRBSxGTi3WQMSB/trained_model.tar 2025-07-09T05:10:47Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-07-09T05:10:47Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/HfcUSzoVeNgOD08cfKeNJRXp6SwHEyNk0AqXRBSxGTi3WQMSB/trained_model.tar url=https://replicate.delivery/xezq/HfcUSzoVeNgOD08cfKeNJRXp6SwHEyNk0AqXRBSxGTi3WQMSB/trained_model.tar 2025-07-09T05:10:47Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/d7b379f4ae2d717b5a40df67de55a88f4b0f2beb71cdfaadc16842bccfe81679?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250709%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250709T051047Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=d69265023a93924da41e5e7b88c5f16235ad08af846e6e445e6debaa2ed18b82 url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/HfcUSzoVeNgOD08cfKeNJRXp6SwHEyNk0AqXRBSxGTi3WQMSB/trained_model.tar 2025-07-09T05:10:47Z | INFO | [ Complete ] dest=/tmp/tmpqv15gc93/weights size="344 MB" total_elapsed=0.302s url=https://replicate.delivery/xezq/HfcUSzoVeNgOD08cfKeNJRXp6SwHEyNk0AqXRBSxGTi3WQMSB/trained_model.tar Downloaded weights in 0.36s Loaded LoRAs in 0.97s Using seed: 14903 Prompt: klya in jungle Input image size: 1440x960 [!] Resizing input image from 1440x960 to 1440x960 [!] img2img mode 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:00, 3.63it/s] 67%|██████▋ | 2/3 [00:00<00:00, 3.16it/s] 100%|██████████| 3/3 [00:00<00:00, 3.04it/s] 100%|██████████| 3/3 [00:00<00:00, 3.11it/s] Total safe images: 1 out of 1
Version Details
- Version ID
6bcb1442146b71861a074daef6b30e48600fdc0399aa20816ba8eeaf47619111- Version Created
- April 15, 2025