hilchi/hilchi_2 πΌοΈπ’βπβ β πΌοΈ
About
Example Output
"masterpiece, photorealistic image of hilchi_2 celebrating at a lively aprΓ¨s-ski party in the snowy mountains of SΓΆlden, Austria β captured from head to chest. He is in the center of the crowd, smiling wide, radiating happiness and high energy. His tousled hair glows in the alpine sunlight, and his bright green eyes sparkle with joy. His face catches the last rays of sunshine of the day. He's wearing only a casual sports T-shirt and a striking orange-neon green ski pants combo, creating a bold, fun contrast. Around him, other young people are dancing, laughing, and raising drinks, all dressed in vibrant ski gear. The wooden deck of a ski hut and snow-covered peaks can be seen in the blurred background. The image captures pure aprΓ¨s-ski vibes, with a dynamic, sunlit party atmosphere full of youth and alpine freedom.
Camera: Canon EOS R5, 50mm lens, shallow depth of field, sharp focus on hilchi_2's face and upper body, warm lighting, expressive motion blur in background crowd."
Output


Performance Metrics
All Input Parameters
{
"seed": 58302,
"model": "dev",
"prompt": "masterpiece, photorealistic image of hilchi_2 celebrating at a lively aprΓ¨s-ski party in the snowy mountains of SΓΆlden, Austria β captured from head to chest. He is in the center of the crowd, smiling wide, radiating happiness and high energy. His tousled hair glows in the alpine sunlight, and his bright green eyes sparkle with joy. His face catches the last rays of sunshine of the day. He's wearing only a casual sports T-shirt and a striking orange-neon green ski pants combo, creating a bold, fun contrast. Around him, other young people are dancing, laughing, and raising drinks, all dressed in vibrant ski gear. The wooden deck of a ski hut and snow-covered peaks can be seen in the blurred background. The image captures pure aprΓ¨s-ski vibes, with a dynamic, sunlit party atmosphere full of youth and alpine freedom.\nCamera: Canon EOS R5, 50mm lens, shallow depth of field, sharp focus on hilchi_2's face and upper body, warm lighting, expressive motion blur in background crowd.\n\n",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 3,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 6.21,
"output_quality": 100,
"prompt_strength": 1,
"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 0.60s Using seed: 58302 Prompt: masterpiece, photorealistic image of hilchi_2 celebrating at a lively aprΓ¨s-ski party in the snowy mountains of SΓΆlden, Austria β captured from head to chest. He is in the center of the crowd, smiling wide, radiating happiness and high energy. His tousled hair glows in the alpine sunlight, and his bright green eyes sparkle with joy. His face catches the last rays of sunshine of the day. He's wearing only a casual sports T-shirt and a striking orange-neon green ski pants combo, creating a bold, fun contrast. Around him, other young people are dancing, laughing, and raising drinks, all dressed in vibrant ski gear. The wooden deck of a ski hut and snow-covered peaks can be seen in the blurred background. The image captures pure aprΓ¨s-ski vibes, with a dynamic, sunlit party atmosphere full of youth and alpine freedom. Camera: Canon EOS R5, 50mm lens, shallow depth of field, sharp focus on hilchi_2's face and upper body, warm lighting, expressive motion blur in background crowd. [!] txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|β | 1/50 [00:00<00:35, 1.39it/s] 4%|β | 2/50 [00:01<00:30, 1.56it/s] 6%|β | 3/50 [00:02<00:32, 1.47it/s] 8%|β | 4/50 [00:02<00:32, 1.43it/s] 10%|β | 5/50 [00:03<00:32, 1.40it/s] 12%|ββ | 6/50 [00:04<00:31, 1.39it/s] 14%|ββ | 7/50 [00:04<00:31, 1.39it/s] 16%|ββ | 8/50 [00:05<00:30, 1.38it/s] 18%|ββ | 9/50 [00:06<00:29, 1.38it/s] 20%|ββ | 10/50 [00:07<00:29, 1.37it/s] 22%|βββ | 11/50 [00:07<00:28, 1.37it/s] 24%|βββ | 12/50 [00:08<00:27, 1.37it/s] 26%|βββ | 13/50 [00:09<00:27, 1.37it/s] 28%|βββ | 14/50 [00:10<00:26, 1.37it/s] 30%|βββ | 15/50 [00:10<00:25, 1.37it/s] 32%|ββββ | 16/50 [00:11<00:24, 1.37it/s] 34%|ββββ | 17/50 [00:12<00:24, 1.37it/s] 36%|ββββ | 18/50 [00:13<00:23, 1.37it/s] 38%|ββββ | 19/50 [00:13<00:22, 1.37it/s] 40%|ββββ | 20/50 [00:14<00:21, 1.37it/s] 42%|βββββ | 21/50 [00:15<00:21, 1.37it/s] 44%|βββββ | 22/50 [00:15<00:20, 1.37it/s] 46%|βββββ | 23/50 [00:16<00:19, 1.37it/s] 48%|βββββ | 24/50 [00:17<00:19, 1.36it/s] 50%|βββββ | 25/50 [00:18<00:18, 1.37it/s] 52%|ββββββ | 26/50 [00:18<00:17, 1.36it/s] 54%|ββββββ | 27/50 [00:19<00:16, 1.36it/s] 56%|ββββββ | 28/50 [00:20<00:16, 1.36it/s] 58%|ββββββ | 29/50 [00:21<00:15, 1.36it/s] 60%|ββββββ | 30/50 [00:21<00:14, 1.36it/s] 62%|βββββββ | 31/50 [00:22<00:13, 1.36it/s] 64%|βββββββ | 32/50 [00:23<00:13, 1.36it/s] 66%|βββββββ | 33/50 [00:24<00:12, 1.36it/s] 68%|βββββββ | 34/50 [00:24<00:11, 1.36it/s] 70%|βββββββ | 35/50 [00:25<00:11, 1.36it/s] 72%|ββββββββ | 36/50 [00:26<00:10, 1.36it/s] 74%|ββββββββ | 37/50 [00:26<00:09, 1.36it/s] 76%|ββββββββ | 38/50 [00:27<00:08, 1.36it/s] 78%|ββββββββ | 39/50 [00:28<00:08, 1.36it/s] 80%|ββββββββ | 40/50 [00:29<00:07, 1.36it/s] 82%|βββββββββ | 41/50 [00:29<00:06, 1.36it/s] 84%|βββββββββ | 42/50 [00:30<00:05, 1.36it/s] 86%|βββββββββ | 43/50 [00:31<00:05, 1.36it/s] 88%|βββββββββ | 44/50 [00:32<00:04, 1.36it/s] 90%|βββββββββ | 45/50 [00:32<00:03, 1.36it/s] 92%|ββββββββββ| 46/50 [00:33<00:02, 1.36it/s] 94%|ββββββββββ| 47/50 [00:34<00:02, 1.36it/s] 96%|ββββββββββ| 48/50 [00:35<00:01, 1.36it/s] 98%|ββββββββββ| 49/50 [00:35<00:00, 1.36it/s] 100%|ββββββββββ| 50/50 [00:36<00:00, 1.36it/s] 100%|ββββββββββ| 50/50 [00:36<00:00, 1.37it/s] Total safe images: 3 out of 3
Version Details
- Version ID
740c269342d6a1f65e3633f97bbdc543a43e0ab5fe5fc72124a4af7ef505665c- Version Created
- December 4, 2025