isaidj/hunt-showdown 🖼️🔢❓📝✓ → 🖼️

▶️ 78 runs 📅 Dec 2024 ⚙️ Cog 0.11.1

About

Use the HUNT word to invoke the style: "A man walking on a field, HUNT style"

Example Output

Prompt:

"Full-body shot of a determined thin female hunter in her late 20s,
standing knee-deep in a murky Louisiana swamp under a bruised green gray sky.
She’s dressed in ragged, mud-caked clothes stained with dried blood,
her dark hair tied back haphazardly, and her eyes burning with vengeful intensity.
In one hand, she grips a modified crossbow loaded with venom-laced bolts,
its wooden frame etched with cryptic symbols. In her other hand,
she holds an old LeMat revolver, smoke still curling from its barrel.
Spanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet,
obscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting
spotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere
of desperation and supernatural dread. HUNT style."

Output

Performance Metrics

6.05s Prediction Time

6.06s Total Time

All Input Parameters

{
  "model": "dev",
  "prompt": "Full-body shot of a determined thin female hunter in her late 20s, \nstanding knee-deep in a murky Louisiana swamp under a bruised green gray sky. \nShe’s dressed in ragged, mud-caked clothes stained with dried blood, \nher dark hair tied back haphazardly, and her eyes burning with vengeful intensity. \nIn one hand, she grips a modified crossbow loaded with venom-laced bolts, \nits wooden frame etched with cryptic symbols. In her other hand, \nshe holds an old LeMat revolver, smoke still curling from its barrel. \nSpanish moss hangs from twisted cypress trees, and the dense fog swirls around her feet, \nobscuring ominous shapes lurking in the distance. Dramatic, cinematic lighting \nspotlights her fierce expression, capturing the gritty 'Hunt: Showdown' atmosphere \nof desperation and supernatural dread. HUNT style.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Input Parameters

mask Type: string: Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
seed Type: integer: Random seed. Set for reproducible generation
image Type: string: Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
model Default: dev: 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 Type: integerRange: 256 - 1440: 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 Type: integerRange: 256 - 1440: 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) Type: string: 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 Type: booleanDefault: false: Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16
extra_lora Type: string: 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 Type: numberDefault: 1Range: -1 - 3: 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 Default: 1: Approximate number of megapixels for generated image
num_outputs Type: integerDefault: 1Range: 1 - 4: Number of outputs to generate
aspect_ratio Default: 1:1: Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode
output_format Default: webp: Format of the output images
guidance_scale Type: numberDefault: 3Range: 0 - 10: 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 Type: integerDefault: 80Range: 0 - 100: 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 Type: numberDefault: 0.8Range: 0 - 1: Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
extra_lora_scale Type: numberDefault: 1Range: -1 - 3: 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 Type: string: 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 Type: integerDefault: 28Range: 1 - 50: Number of denoising steps. More steps can give more detailed images, but take longer.
disable_safety_checker Type: booleanDefault: false: Disable safety checker for generated images.

Output Schema

Output

Type: array • Items Type: string • Items Format: uri

Example Execution Logs

Lora https://replicate.delivery/xezq/JEpKIvRmocJQBJ3WzhGkQezZvcMiN70ZhoLaeL8s5FYeEPePB/trained_model.tar already loaded
Using seed: 19298
0it [00:00, ?it/s]
1it [00:00,  8.40it/s]
2it [00:00,  5.87it/s]
3it [00:00,  5.34it/s]
4it [00:00,  5.13it/s]
5it [00:00,  4.99it/s]
6it [00:01,  4.90it/s]
7it [00:01,  4.87it/s]
8it [00:01,  4.85it/s]
9it [00:01,  4.85it/s]
10it [00:01,  4.83it/s]
11it [00:02,  4.81it/s]
12it [00:02,  4.81it/s]
13it [00:02,  4.81it/s]
14it [00:02,  4.81it/s]
15it [00:03,  4.80it/s]
16it [00:03,  4.80it/s]
17it [00:03,  4.80it/s]
18it [00:03,  4.80it/s]
19it [00:03,  4.81it/s]
20it [00:04,  4.80it/s]
21it [00:04,  4.79it/s]
22it [00:04,  4.79it/s]
23it [00:04,  4.79it/s]
24it [00:04,  4.79it/s]
25it [00:05,  4.79it/s]
26it [00:05,  4.80it/s]
27it [00:05,  4.81it/s]
28it [00:05,  4.81it/s]
28it [00:05,  4.88it/s]
Total safe images: 1 out of 1

Version Details

Version ID: 30dc97419563c8a1673ee165955b41b2bd319e9374de65a9525f2e5e65a8f7fa
Version Created: December 27, 2024

Run on Replicate →