bkk-spy1990/rapin 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"A RPPW with tan skin and short dark hair wears a light brown utility shirt with buttoned pockets. The shirt is worn untucked, hanging naturally over his khaki cargo pants. He has a serious expression and a well-groomed mustache and beard. A wide-brimmed cowboy hat made of textured brown leather sits on his head, featuring a star emblem on the band. He carries a weathered, old-style brown canvas field backpack slung over his shoulders. He wears matching khaki tactical cargo pants with multiple pockets and sturdy brown leather combat boots suitable for trekking. The overall look conveys a tough, jungle-ready adventurer prepared for exploration in rugged terrain. A dense, terrifying jungle deep in the wilderness. The forest is filled with towering ancient trees with twisted roots and thick, overgrown vines hanging like serpents. The atmosphere is ominously dark and suffocating, cloaked in thick, swirling fog that obscures the distance. Shadows stretch and shift between the undergrowth, as faint glimmers of dying light barely pierce through the canopy. The color palette is dominated by dark greens, muted browns, and grayish mist tones. Strange, distant howls echo from unseen creatures, and the ground is wet with mud and rotting leaves. The jungle feels alive, as if watching. There is a strong sense of dread, mystery, and isolation, perfect for a horror or dark adventure setting."
Output
Performance Metrics
14.04s
Prediction Time
14.11s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "A RPPW with tan skin and short dark hair wears a light brown utility shirt with buttoned pockets. The shirt is worn untucked, hanging naturally over his khaki cargo pants. He has a serious expression and a well-groomed mustache and beard. A wide-brimmed cowboy hat made of textured brown leather sits on his head, featuring a star emblem on the band. He carries a weathered, old-style brown canvas field backpack slung over his shoulders. He wears matching khaki tactical cargo pants with multiple pockets and sturdy brown leather combat boots suitable for trekking. The overall look conveys a tough, jungle-ready adventurer prepared for exploration in rugged terrain. A dense, terrifying jungle deep in the wilderness. The forest is filled with towering ancient trees with twisted roots and thick, overgrown vines hanging like serpents. The atmosphere is ominously dark and suffocating, cloaked in thick, swirling fog that obscures the distance. Shadows stretch and shift between the undergrowth, as faint glimmers of dying light barely pierce through the canopy. The color palette is dominated by dark greens, muted browns, and grayish mist tones. Strange, distant howls echo from unseen creatures, and the ground is wet with mud and rotting leaves. The jungle feels alive, as if watching. There is a strong sense of dread, mystery, and isolation, perfect for a horror or dark adventure setting.",
"go_fast": false,
"lora_scale": 0.9,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "9:16",
"output_format": "png",
"guidance_scale": 1.5,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 50
}
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
Loaded LoRAs in 0.52s Using seed: 48836 Prompt: A RPPW with tan skin and short dark hair wears a light brown utility shirt with buttoned pockets. The shirt is worn untucked, hanging naturally over his khaki cargo pants. He has a serious expression and a well-groomed mustache and beard. A wide-brimmed cowboy hat made of textured brown leather sits on his head, featuring a star emblem on the band. He carries a weathered, old-style brown canvas field backpack slung over his shoulders. He wears matching khaki tactical cargo pants with multiple pockets and sturdy brown leather combat boots suitable for trekking. The overall look conveys a tough, jungle-ready adventurer prepared for exploration in rugged terrain. A dense, terrifying jungle deep in the wilderness. The forest is filled with towering ancient trees with twisted roots and thick, overgrown vines hanging like serpents. The atmosphere is ominously dark and suffocating, cloaked in thick, swirling fog that obscures the distance. Shadows stretch and shift between the undergrowth, as faint glimmers of dying light barely pierce through the canopy. The color palette is dominated by dark greens, muted browns, and grayish mist tones. Strange, distant howls echo from unseen creatures, and the ground is wet with mud and rotting leaves. The jungle feels alive, as if watching. There is a strong sense of dread, mystery, and isolation, perfect for a horror or dark adventure setting. [!] txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:12, 3.77it/s] 4%|▍ | 2/50 [00:00<00:11, 4.15it/s] 6%|▌ | 3/50 [00:00<00:11, 4.01it/s] 8%|▊ | 4/50 [00:01<00:11, 3.95it/s] 10%|█ | 5/50 [00:01<00:11, 3.92it/s] 12%|█▏ | 6/50 [00:01<00:11, 3.90it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.88it/s] 16%|█▌ | 8/50 [00:02<00:10, 3.88it/s] 18%|█▊ | 9/50 [00:02<00:10, 3.86it/s] 20%|██ | 10/50 [00:02<00:10, 3.86it/s] 22%|██▏ | 11/50 [00:02<00:10, 3.86it/s] 24%|██▍ | 12/50 [00:03<00:09, 3.85it/s] 26%|██▌ | 13/50 [00:03<00:09, 3.85it/s] 28%|██▊ | 14/50 [00:03<00:09, 3.85it/s] 30%|███ | 15/50 [00:03<00:09, 3.85it/s] 32%|███▏ | 16/50 [00:04<00:08, 3.85it/s] 34%|███▍ | 17/50 [00:04<00:08, 3.84it/s] 36%|███▌ | 18/50 [00:04<00:08, 3.83it/s] 38%|███▊ | 19/50 [00:04<00:08, 3.85it/s] 40%|████ | 20/50 [00:05<00:07, 3.85it/s] 42%|████▏ | 21/50 [00:05<00:07, 3.84it/s] 44%|████▍ | 22/50 [00:05<00:07, 3.84it/s] 46%|████▌ | 23/50 [00:05<00:07, 3.85it/s] 48%|████▊ | 24/50 [00:06<00:06, 3.86it/s] 50%|█████ | 25/50 [00:06<00:06, 3.84it/s] 52%|█████▏ | 26/50 [00:06<00:06, 3.84it/s] 54%|█████▍ | 27/50 [00:06<00:05, 3.85it/s] 56%|█████▌ | 28/50 [00:07<00:05, 3.85it/s] 58%|█████▊ | 29/50 [00:07<00:05, 3.85it/s] 60%|██████ | 30/50 [00:07<00:05, 3.85it/s] 62%|██████▏ | 31/50 [00:08<00:04, 3.85it/s] 64%|██████▍ | 32/50 [00:08<00:04, 3.84it/s] 66%|██████▌ | 33/50 [00:08<00:04, 3.85it/s] 68%|██████▊ | 34/50 [00:08<00:04, 3.85it/s] 70%|███████ | 35/50 [00:09<00:03, 3.84it/s] 72%|███████▏ | 36/50 [00:09<00:03, 3.84it/s] 74%|███████▍ | 37/50 [00:09<00:03, 3.84it/s] 76%|███████▌ | 38/50 [00:09<00:03, 3.84it/s] 78%|███████▊ | 39/50 [00:10<00:02, 3.85it/s] 80%|████████ | 40/50 [00:10<00:02, 3.84it/s] 82%|████████▏ | 41/50 [00:10<00:02, 3.85it/s] 84%|████████▍ | 42/50 [00:10<00:02, 3.84it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.84it/s] 88%|████████▊ | 44/50 [00:11<00:01, 3.84it/s] 90%|█████████ | 45/50 [00:11<00:01, 3.84it/s] 92%|█████████▏| 46/50 [00:11<00:01, 3.85it/s] 94%|█████████▍| 47/50 [00:12<00:00, 3.85it/s] 96%|█████████▌| 48/50 [00:12<00:00, 3.85it/s] 98%|█████████▊| 49/50 [00:12<00:00, 3.85it/s] 100%|██████████| 50/50 [00:12<00:00, 3.85it/s] 100%|██████████| 50/50 [00:12<00:00, 3.86it/s] Total safe images: 1 out of 1
Version Details
- Version ID
45ff2c803c4d6652b8b822b1915bb01ad209f0df58d1862c2c6bfb728e373081- Version Created
- June 6, 2025