benk044/mooner 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"ohwx, Moon with low skin fade haircut and neatly trimmed beard, wearing a simple blue t-shirt, black chinos, and pair of white Adidas shoes. He is also wearing a fisherman hat. He stands on top of a safari van facing AWAY from the camera, looking on. The scene is set during sunset, with warm golden-orange light spreading across the horizon, casting long dramatic shadows. Wide-angle, cinematic composition, natural realism, adventurous travel atmosphere."
Output
Performance Metrics
9.58s
Prediction Time
9.69s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "ohwx, Moon with low skin fade haircut and neatly trimmed beard, wearing a simple blue t-shirt, black chinos, and pair of white Adidas shoes. He is also wearing a fisherman hat. He stands on top of a safari van facing AWAY from the camera, looking on. The scene is set during sunset, with warm golden-orange light spreading across the horizon, casting long dramatic shadows. Wide-angle, cinematic composition, natural realism, adventurous travel atmosphere.",
"go_fast": false,
"extra_lora": "https://huggingface.co/Bluemooner14/Spoon/resolve/main/lora.safetensors",
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 2.5,
"output_quality": 100,
"prompt_strength": 0.6,
"extra_lora_scale": 1,
"num_inference_steps": 25
}
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=28467029708800 Downloading weights 2025-09-10T19:01:10Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpanc8a_hu/weights url=https://replicate.delivery/xezq/ykqjSFK7es1xPyj54vdY8I7oZVpBSZCLCWRqb3c2r8aQK7pKA/trained_model.tar 2025-09-10T19:01:10Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-09-10T19:01:10Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/ykqjSFK7es1xPyj54vdY8I7oZVpBSZCLCWRqb3c2r8aQK7pKA/trained_model.tar url=https://replicate.delivery/xezq/ykqjSFK7es1xPyj54vdY8I7oZVpBSZCLCWRqb3c2r8aQK7pKA/trained_model.tar 2025-09-10T19:01:10Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/5023b7b4893e181522b65d2b39a2971fc6cf084e1e70537a721b3429e9238b6d?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250910%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250910T190110Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=77a01276ddd96efe241597aa9292a90d92eb0b2f1c0e35c1dd6b75151a4b0b4c url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/ykqjSFK7es1xPyj54vdY8I7oZVpBSZCLCWRqb3c2r8aQK7pKA/trained_model.tar 2025-09-10T19:01:10Z | INFO | [ Complete ] dest=/tmp/tmpanc8a_hu/weights size="172 MB" total_elapsed=0.267s url=https://replicate.delivery/xezq/ykqjSFK7es1xPyj54vdY8I7oZVpBSZCLCWRqb3c2r8aQK7pKA/trained_model.tar Downloaded weights in 0.33s free=28466857033728 Downloading weights 2025-09-10T19:01:10Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/25c38b47b98ecae1 url=https://huggingface.co/Bluemooner14/Spoon/resolve/main/lora.safetensors 2025-09-10T19:01:10Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-09-10T19:01:10Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/huggingface.co/Bluemooner14/Spoon/resolve/main/lora.safetensors url=https://huggingface.co/Bluemooner14/Spoon/resolve/main/lora.safetensors 2025-09-10T19:01:10Z | INFO | [ Redirect ] redirect_url=http://r8-huggingface-ric1.cwlota.com/1d11128a0a0351c43f5caa63399bc516b2c28dbde964263d8f3f06ea82ec913d?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250910%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250910T190110Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=252e57374a887c5a78ea7e6de97a3255181963777bc1d570355343a60b2c9093 url=http://hermes.services.svc.cluster.local/huggingface.co/Bluemooner14/Spoon/resolve/main/lora.safetensors 2025-09-10T19:01:11Z | INFO | [ Complete ] dest=/src/weights-cache/25c38b47b98ecae1 size="172 MB" total_elapsed=0.261s url=https://huggingface.co/Bluemooner14/Spoon/resolve/main/lora.safetensors Downloaded weights in 0.32s Loaded LoRAs in 1.86s Using seed: 61477 Prompt: ohwx, Moon with low skin fade haircut and neatly trimmed beard, wearing a simple blue t-shirt, black chinos, and pair of white Adidas shoes. He is also wearing a fisherman hat. He stands on top of a safari van facing AWAY from the camera, looking on. The scene is set during sunset, with warm golden-orange light spreading across the horizon, casting long dramatic shadows. Wide-angle, cinematic composition, natural realism, adventurous travel atmosphere. [!] txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:07, 3.34it/s] 8%|▊ | 2/25 [00:00<00:06, 3.66it/s] 12%|█▏ | 3/25 [00:00<00:06, 3.51it/s] 16%|█▌ | 4/25 [00:01<00:06, 3.44it/s] 20%|██ | 5/25 [00:01<00:05, 3.40it/s] 24%|██▍ | 6/25 [00:01<00:05, 3.38it/s] 28%|██▊ | 7/25 [00:02<00:05, 3.37it/s] 32%|███▏ | 8/25 [00:02<00:05, 3.36it/s] 36%|███▌ | 9/25 [00:02<00:04, 3.36it/s] 40%|████ | 10/25 [00:02<00:04, 3.35it/s] 44%|████▍ | 11/25 [00:03<00:04, 3.35it/s] 48%|████▊ | 12/25 [00:03<00:03, 3.35it/s] 52%|█████▏ | 13/25 [00:03<00:03, 3.35it/s] 56%|█████▌ | 14/25 [00:04<00:03, 3.35it/s] 60%|██████ | 15/25 [00:04<00:02, 3.34it/s] 64%|██████▍ | 16/25 [00:04<00:02, 3.34it/s] 68%|██████▊ | 17/25 [00:05<00:02, 3.34it/s] 72%|███████▏ | 18/25 [00:05<00:02, 3.34it/s] 76%|███████▌ | 19/25 [00:05<00:01, 3.34it/s] 80%|████████ | 20/25 [00:05<00:01, 3.34it/s] 84%|████████▍ | 21/25 [00:06<00:01, 3.35it/s] 88%|████████▊ | 22/25 [00:06<00:00, 3.35it/s] 92%|█████████▏| 23/25 [00:06<00:00, 3.35it/s] 96%|█████████▌| 24/25 [00:07<00:00, 3.35it/s] 100%|██████████| 25/25 [00:07<00:00, 3.35it/s] 100%|██████████| 25/25 [00:07<00:00, 3.36it/s] Total safe images: 1 out of 1
Version Details
- Version ID
4673a61e27b304b499d13a5e370a8fa5542b7ce3c1b8542eefc1226077b3a935- Version Created
- September 10, 2025