ricardonunesdj100/rnlora-video100 πΌοΈπ’βπβ β πΌοΈ
About
Example Output
Prompt:
"Ricardo Nunes, hombre,PIONEER, en club de musicaespacial,foto de artista dj,futurista,muy atractivo ,mΓΊsica electronica,foto portada,foto de estudio fotogrΓ‘fico,luces de neΓ³n,muy guapo,concentrado,con equipo profesional Pioneer cdj 3000 y Pioneer 900 nexus,gente bailando con muchas chicas levantando los brazos y grabando con el mΓ³vil."
Output



Performance Metrics
39.14s
Prediction Time
39.39s
Total Time
All Input Parameters
{
"model": "dev",
"width": 619,
"height": 1018,
"prompt": "Ricardo Nunes, hombre,PIONEER, en club de musicaespacial,foto de artista dj,futurista,muy atractivo ,mΓΊsica electronica,foto portada,foto de estudio fotogrΓ‘fico,luces de neΓ³n,muy guapo,concentrado,con equipo profesional Pioneer cdj 3000 y Pioneer 900 nexus,gente bailando con muchas chicas levantando los brazos y grabando con el mΓ³vil.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 4.23,
"output_quality": 50,
"prompt_strength": 0.67,
"extra_lora_scale": 0.92,
"num_inference_steps": 39
}
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 0.68s Using seed: 43678 Prompt: Ricardo Nunes, hombre,PIONEER, en club de musicaespacial,foto de artista dj,futurista,muy atractivo ,mΓΊsica electronica,foto portada,foto de estudio fotogrΓ‘fico,luces de neΓ³n,muy guapo,concentrado,con equipo profesional Pioneer cdj 3000 y Pioneer 900 nexus,gente bailando con muchas chicas levantando los brazos y grabando con el mΓ³vil. [!] txt2img mode 0%| | 0/39 [00:00<?, ?it/s] 3%|β | 1/39 [00:00<00:36, 1.04it/s] 5%|β | 2/39 [00:01<00:31, 1.18it/s] 8%|β | 3/39 [00:02<00:32, 1.11it/s] 10%|β | 4/39 [00:03<00:32, 1.08it/s] 13%|ββ | 5/39 [00:04<00:32, 1.06it/s] 15%|ββ | 6/39 [00:05<00:31, 1.05it/s] 18%|ββ | 7/39 [00:06<00:30, 1.05it/s] 21%|ββ | 8/39 [00:07<00:29, 1.04it/s] 23%|βββ | 9/39 [00:08<00:28, 1.04it/s] 26%|βββ | 10/39 [00:09<00:27, 1.04it/s] 28%|βββ | 11/39 [00:10<00:26, 1.04it/s] 31%|βββ | 12/39 [00:11<00:26, 1.04it/s] 33%|ββββ | 13/39 [00:12<00:25, 1.04it/s] 36%|ββββ | 14/39 [00:13<00:24, 1.04it/s] 38%|ββββ | 15/39 [00:14<00:23, 1.04it/s] 41%|ββββ | 16/39 [00:15<00:22, 1.03it/s] 44%|βββββ | 17/39 [00:16<00:21, 1.03it/s] 46%|βββββ | 18/39 [00:17<00:20, 1.03it/s] 49%|βββββ | 19/39 [00:18<00:19, 1.03it/s] 51%|ββββββ | 20/39 [00:19<00:18, 1.03it/s] 54%|ββββββ | 21/39 [00:20<00:17, 1.03it/s] 56%|ββββββ | 22/39 [00:21<00:16, 1.03it/s] 59%|ββββββ | 23/39 [00:22<00:15, 1.03it/s] 62%|βββββββ | 24/39 [00:22<00:14, 1.03it/s] 64%|βββββββ | 25/39 [00:23<00:13, 1.03it/s] 67%|βββββββ | 26/39 [00:24<00:12, 1.03it/s] 69%|βββββββ | 27/39 [00:25<00:11, 1.03it/s] 72%|ββββββββ | 28/39 [00:26<00:10, 1.03it/s] 74%|ββββββββ | 29/39 [00:27<00:09, 1.03it/s] 77%|ββββββββ | 30/39 [00:28<00:08, 1.03it/s] 79%|ββββββββ | 31/39 [00:29<00:07, 1.03it/s] 82%|βββββββββ | 32/39 [00:30<00:06, 1.03it/s] 85%|βββββββββ | 33/39 [00:31<00:05, 1.03it/s] 87%|βββββββββ | 34/39 [00:32<00:04, 1.03it/s] 90%|βββββββββ | 35/39 [00:33<00:03, 1.03it/s] 92%|ββββββββββ| 36/39 [00:34<00:02, 1.03it/s] 95%|ββββββββββ| 37/39 [00:35<00:01, 1.04it/s] 97%|ββββββββββ| 38/39 [00:36<00:00, 1.04it/s] 100%|ββββββββββ| 39/39 [00:37<00:00, 1.03it/s] 100%|ββββββββββ| 39/39 [00:37<00:00, 1.04it/s] Total safe images: 4 out of 4
Version Details
- Version ID
1e9b69c62c893d3f1f780fa585113e0b90727f5ce34c980a3f6a5ed74422af92- Version Created
- October 4, 2024