grassyguru/archslra 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"ARCHSLRA knight in armor sailing in boat"
Output
Performance Metrics
22.64s
Prediction Time
22.64s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "ARCHSLRA knight in armor sailing in boat",
"lora_scale": 0.87,
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"extra_lora_scale": 1,
"num_inference_steps": 34
}
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: 65486 Prompt: ARCHSLRA knight in armor sailing in boat txt2img mode Using dev model free=9793144258560 Downloading weights 2024-08-28T02:07:14Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp9ozgw91w/weights url=https://replicate.delivery/yhqm/zr6nLoCQgfwVQ6abnfHcezspFpKrofN47o9EIielOI76uK4aC/trained_model.tar 2024-08-28T02:07:19Z | INFO | [ Complete ] dest=/tmp/tmp9ozgw91w/weights size="172 MB" total_elapsed=4.719s url=https://replicate.delivery/yhqm/zr6nLoCQgfwVQ6abnfHcezspFpKrofN47o9EIielOI76uK4aC/trained_model.tar Downloaded weights in 4.75s Loaded LoRAs in 12.64s 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:09, 3.56it/s] 6%|▌ | 2/34 [00:00<00:07, 4.00it/s] 9%|▉ | 3/34 [00:00<00:08, 3.80it/s] 12%|█▏ | 4/34 [00:01<00:08, 3.70it/s] 15%|█▍ | 5/34 [00:01<00:07, 3.65it/s] 18%|█▊ | 6/34 [00:01<00:07, 3.62it/s] 21%|██ | 7/34 [00:01<00:07, 3.61it/s] 24%|██▎ | 8/34 [00:02<00:07, 3.60it/s] 26%|██▋ | 9/34 [00:02<00:06, 3.59it/s] 29%|██▉ | 10/34 [00:02<00:06, 3.59it/s] 32%|███▏ | 11/34 [00:03<00:06, 3.59it/s] 35%|███▌ | 12/34 [00:03<00:06, 3.58it/s] 38%|███▊ | 13/34 [00:03<00:05, 3.58it/s] 41%|████ | 14/34 [00:03<00:05, 3.58it/s] 44%|████▍ | 15/34 [00:04<00:05, 3.58it/s] 47%|████▋ | 16/34 [00:04<00:05, 3.58it/s] 50%|█████ | 17/34 [00:04<00:04, 3.57it/s] 53%|█████▎ | 18/34 [00:04<00:04, 3.58it/s] 56%|█████▌ | 19/34 [00:05<00:04, 3.58it/s] 59%|█████▉ | 20/34 [00:05<00:03, 3.57it/s] 62%|██████▏ | 21/34 [00:05<00:03, 3.57it/s] 65%|██████▍ | 22/34 [00:06<00:03, 3.58it/s] 68%|██████▊ | 23/34 [00:06<00:03, 3.58it/s] 71%|███████ | 24/34 [00:06<00:02, 3.58it/s] 74%|███████▎ | 25/34 [00:06<00:02, 3.57it/s] 76%|███████▋ | 26/34 [00:07<00:02, 3.58it/s] 79%|███████▉ | 27/34 [00:07<00:01, 3.58it/s] 82%|████████▏ | 28/34 [00:07<00:01, 3.57it/s] 85%|████████▌ | 29/34 [00:08<00:01, 3.57it/s] 88%|████████▊ | 30/34 [00:08<00:01, 3.57it/s] 91%|█████████ | 31/34 [00:08<00:00, 3.58it/s] 94%|█████████▍| 32/34 [00:08<00:00, 3.58it/s] 97%|█████████▋| 33/34 [00:09<00:00, 3.57it/s] 100%|██████████| 34/34 [00:09<00:00, 3.58it/s] 100%|██████████| 34/34 [00:09<00:00, 3.59it/s]
Version Details
- Version ID
c13123731b41d7d2265ba4b6ea251b0f018aa254fc6a79dac3079578fe848ea3- Version Created
- August 27, 2024