jonghwan-seo/byumgyu 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"A magical scene inspired by the Harry Potter universe featuring BYUMGYU as the central character. BYUMGYU is a young wizard wearing a majestic black robe with silver and emerald accents, holding a glowing wand emitting golden sparks. His face is looking directly at the viewer with a confident expression, his black hair slightly tousled by an unseen wind. Behind him, an ancient, grand castle with towering spires and glowing windows is visible under a starry night sky. The environment is surrounded by mystical fog, floating candles, and enchanted books hovering in the air. The image is lit by moonlight and the golden glow of his wand, creating a magical, high-contrast atmosphere."
Output
Performance Metrics
9.59s
Prediction Time
9.68s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "A magical scene inspired by the Harry Potter universe featuring BYUMGYU as the central character. BYUMGYU is a young wizard wearing a majestic black robe with silver and emerald accents, holding a glowing wand emitting golden sparks. His face is looking directly at the viewer with a confident expression, his black hair slightly tousled by an unseen wind. Behind him, an ancient, grand castle with towering spires and glowing windows is visible under a starry night sky. The environment is surrounded by mystical fog, floating candles, and enchanted books hovering in the air. The image is lit by moonlight and the golden glow of his wand, creating a magical, high-contrast atmosphere.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"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
2024-12-06 16:08:11.373 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-12-06 16:08:11.373 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 97%|█████████▋| 295/304 [00:00<00:00, 2943.92it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2854.14it/s] 2024-12-06 16:08:11.480 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.11s free=29022338072576 Downloading weights 2024-12-06T16:08:11Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp8_75998e/weights url=https://replicate.delivery/xezq/kKNQQCOfah2ye01OLqIkDiSewX2683j2a7fCyHfbrWmI2jBfE/trained_model.tar 2024-12-06T16:08:14Z | INFO | [ Complete ] dest=/tmp/tmp8_75998e/weights size="172 MB" total_elapsed=3.164s url=https://replicate.delivery/xezq/kKNQQCOfah2ye01OLqIkDiSewX2683j2a7fCyHfbrWmI2jBfE/trained_model.tar Downloaded weights in 3.19s 2024-12-06 16:08:14.670 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/fc493b5fc13a19fa 2024-12-06 16:08:14.740 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded 2024-12-06 16:08:14.740 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-12-06 16:08:14.740 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 97%|█████████▋| 295/304 [00:00<00:00, 2949.84it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2859.75it/s] 2024-12-06 16:08:14.847 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.18s Using seed: 14598 0it [00:00, ?it/s] 1it [00:00, 8.45it/s] 2it [00:00, 5.89it/s] 3it [00:00, 5.36it/s] 4it [00:00, 5.14it/s] 5it [00:00, 5.01it/s] 6it [00:01, 4.92it/s] 7it [00:01, 4.89it/s] 8it [00:01, 4.87it/s] 9it [00:01, 4.86it/s] 10it [00:01, 4.84it/s] 11it [00:02, 4.82it/s] 12it [00:02, 4.81it/s] 13it [00:02, 4.81it/s] 14it [00:02, 4.81it/s] 15it [00:03, 4.81it/s] 16it [00:03, 4.80it/s] 17it [00:03, 4.80it/s] 18it [00:03, 4.81it/s] 19it [00:03, 4.81it/s] 20it [00:04, 4.80it/s] 21it [00:04, 4.80it/s] 22it [00:04, 4.80it/s] 23it [00:04, 4.81it/s] 24it [00:04, 4.80it/s] 25it [00:05, 4.80it/s] 26it [00:05, 4.79it/s] 27it [00:05, 4.79it/s] 28it [00:05, 4.80it/s] 28it [00:05, 4.88it/s] Total safe images: 1 out of 1
Version Details
- Version ID
b37b7fcd5a4bb42d840fe68b525e2a991c2a9df288269fde8c9cf5235a59a2ca- Version Created
- December 6, 2024