jaaacki/simonng 🖼️🔢❓📝✓ → 🖼️
About
Example Output
"A cinematic, action-packed scene featuring HENRYHO as Neo and SIMONNG as Morpheus from The Matrix. Both characters are captured in a close-up shot, their intense expressions highlighting the gravity of the moment. HENRYHO, portraying Neo, wears the iconic black trench coat and sleek sunglasses, his gaze sharp and focused. Beside him, SIMONNG embodies Morpheus, donning the classic long leather coat, mirrored sunglasses, and exuding a calm yet commanding presence. The background is alive with cascading green Matrix code and a moody, futuristic cityscape. Dynamic elements like bullets suspended mid-air and swirling fragments of digital code add energy to the scene. The lighting casts dramatic shadows, emphasizing the contours of their faces and the tension of the moment. The camera angle centers on both characters, showcasing their partnership and capturing the thrilling essence of The Matrix in a visually stunning image."
Output
Performance Metrics
All Input Parameters
{
"model": "dev",
"prompt": "A cinematic, action-packed scene featuring HENRYHO as Neo and SIMONNG as Morpheus from The Matrix. Both characters are captured in a close-up shot, their intense expressions highlighting the gravity of the moment. HENRYHO, portraying Neo, wears the iconic black trench coat and sleek sunglasses, his gaze sharp and focused. Beside him, SIMONNG embodies Morpheus, donning the classic long leather coat, mirrored sunglasses, and exuding a calm yet commanding presence. The background is alive with cascading green Matrix code and a moody, futuristic cityscape. Dynamic elements like bullets suspended mid-air and swirling fragments of digital code add energy to the scene. The lighting casts dramatic shadows, emphasizing the contours of their faces and the tension of the moment. The camera angle centers on both characters, showcasing their partnership and capturing the thrilling essence of The Matrix in a visually stunning image.",
"extra_lora": "jaaacki/henryho",
"lora_scale": 0.7,
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 3.5,
"output_quality": 90,
"prompt_strength": 0.92,
"extra_lora_scale": 1,
"num_inference_steps": 40
}
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
Using seed: 9435 Prompt: A cinematic, action-packed scene featuring HENRYHO as Neo and SIMONNG as Morpheus from The Matrix. Both characters are captured in a close-up shot, their intense expressions highlighting the gravity of the moment. HENRYHO, portraying Neo, wears the iconic black trench coat and sleek sunglasses, his gaze sharp and focused. Beside him, SIMONNG embodies Morpheus, donning the classic long leather coat, mirrored sunglasses, and exuding a calm yet commanding presence. The background is alive with cascading green Matrix code and a moody, futuristic cityscape. Dynamic elements like bullets suspended mid-air and swirling fragments of digital code add energy to the scene. The lighting casts dramatic shadows, emphasizing the contours of their faces and the tension of the moment. The camera angle centers on both characters, showcasing their partnership and capturing the thrilling essence of The Matrix in a visually stunning image. [!] txt2img mode Using dev model Loading extra LoRA weights from: jaaacki/henryho free=4015412424704 Downloading weights 2024-09-28T10:58:31Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpwcv_q973/weights url=https://replicate.delivery/yhqm/N8mJxHq9MlooARGB4rfBmfgYutfo3C4fDXHD7q0ceEuB9yFcC/trained_model.tar 2024-09-28T10:58:32Z | INFO | [ Complete ] dest=/tmp/tmpwcv_q973/weights size="172 MB" total_elapsed=1.412s url=https://replicate.delivery/yhqm/N8mJxHq9MlooARGB4rfBmfgYutfo3C4fDXHD7q0ceEuB9yFcC/trained_model.tar Downloaded weights in 1.44s free=4015239876608 Downloading weights 2024-09-28T10:58:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp1hmvs29a/weights url=https://replicate.com/jaaacki/henryho/_weights 2024-09-28T10:58:33Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/yhqm/WafiqLhxDOwxUCbf5WnHLVIQDFnXuvhNJDeXoep3qKLishFOB/trained_model.tar url=https://replicate.com/jaaacki/henryho/_weights 2024-09-28T10:58:36Z | INFO | [ Complete ] dest=/tmp/tmp1hmvs29a/weights size="172 MB" total_elapsed=3.423s url=https://replicate.com/jaaacki/henryho/_weights Downloaded weights in 3.46s Loaded LoRAs in 6.40s 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:28, 1.36it/s] 5%|▌ | 2/40 [00:01<00:25, 1.49it/s] 8%|▊ | 3/40 [00:02<00:25, 1.43it/s] 10%|█ | 4/40 [00:02<00:25, 1.40it/s] 12%|█▎ | 5/40 [00:03<00:25, 1.39it/s] 15%|█▌ | 6/40 [00:04<00:24, 1.38it/s] 18%|█▊ | 7/40 [00:05<00:24, 1.37it/s] 20%|██ | 8/40 [00:05<00:23, 1.37it/s] 22%|██▎ | 9/40 [00:06<00:22, 1.36it/s] 25%|██▌ | 10/40 [00:07<00:22, 1.36it/s] 28%|██▊ | 11/40 [00:07<00:21, 1.36it/s] 30%|███ | 12/40 [00:08<00:20, 1.36it/s] 32%|███▎ | 13/40 [00:09<00:19, 1.36it/s] 35%|███▌ | 14/40 [00:10<00:19, 1.36it/s] 38%|███▊ | 15/40 [00:10<00:18, 1.36it/s] 40%|████ | 16/40 [00:11<00:17, 1.36it/s] 42%|████▎ | 17/40 [00:12<00:16, 1.36it/s] 45%|████▌ | 18/40 [00:13<00:16, 1.36it/s] 48%|████▊ | 19/40 [00:13<00:15, 1.36it/s] 50%|█████ | 20/40 [00:14<00:14, 1.36it/s] 52%|█████▎ | 21/40 [00:15<00:13, 1.36it/s] 55%|█████▌ | 22/40 [00:16<00:13, 1.36it/s] 57%|█████▊ | 23/40 [00:16<00:12, 1.36it/s] 60%|██████ | 24/40 [00:17<00:11, 1.36it/s] 62%|██████▎ | 25/40 [00:18<00:11, 1.36it/s] 65%|██████▌ | 26/40 [00:19<00:10, 1.36it/s] 68%|██████▊ | 27/40 [00:19<00:09, 1.36it/s] 70%|███████ | 28/40 [00:20<00:08, 1.36it/s] 72%|███████▎ | 29/40 [00:21<00:08, 1.36it/s] 75%|███████▌ | 30/40 [00:21<00:07, 1.36it/s] 78%|███████▊ | 31/40 [00:22<00:06, 1.36it/s] 80%|████████ | 32/40 [00:23<00:05, 1.36it/s] 82%|████████▎ | 33/40 [00:24<00:05, 1.36it/s] 85%|████████▌ | 34/40 [00:24<00:04, 1.36it/s] 88%|████████▊ | 35/40 [00:25<00:03, 1.36it/s] 90%|█████████ | 36/40 [00:26<00:02, 1.36it/s] 92%|█████████▎| 37/40 [00:27<00:02, 1.36it/s] 95%|█████████▌| 38/40 [00:27<00:01, 1.36it/s] 98%|█████████▊| 39/40 [00:28<00:00, 1.36it/s] 100%|██████████| 40/40 [00:29<00:00, 1.36it/s] 100%|██████████| 40/40 [00:29<00:00, 1.36it/s]
Version Details
- Version ID
1b94a5cff4cf221a11702b2ad557dda7e8deb5f6e7feb7f13075e01a0aee0838- Version Created
- September 26, 2024