royronit/planetnesa 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"alien outer space hues of green matrix like space "
Output



Performance Metrics
146.70s
Prediction Time
146.96s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "alien outer space hues of green matrix like space ",
"lora_scale": 1,
"num_outputs": 4,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 90,
"prompt_strength": 0.58,
"extra_lora_scale": 1,
"num_inference_steps": 44
}
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: 25508 Prompt: alien outer space hues of green matrix like space [!] txt2img mode Using dev model free=7258789990400 Downloading weights 2024-09-22T22:10:45Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpyexwbaa2/weights url=https://replicate.delivery/yhqm/ipFwkR8z9EKeM6v6q4eZzxTwi8iAuKB1P4vHxLHksX7NljfmA/trained_model.tar 2024-09-22T22:10:48Z | INFO | [ Complete ] dest=/tmp/tmpyexwbaa2/weights size="172 MB" total_elapsed=2.290s url=https://replicate.delivery/yhqm/ipFwkR8z9EKeM6v6q4eZzxTwi8iAuKB1P4vHxLHksX7NljfmA/trained_model.tar Downloaded weights in 2.32s Loaded LoRAs in 98.62s 0%| | 0/44 [00:00<?, ?it/s] 2%|▏ | 1/44 [00:01<00:45, 1.05s/it] 5%|▍ | 2/44 [00:01<00:39, 1.07it/s] 7%|▋ | 3/44 [00:02<00:40, 1.01it/s] 9%|▉ | 4/44 [00:04<00:40, 1.01s/it] 11%|█▏ | 5/44 [00:05<00:40, 1.03s/it] 14%|█▎ | 6/44 [00:06<00:39, 1.04s/it] 16%|█▌ | 7/44 [00:07<00:38, 1.04s/it] 18%|█▊ | 8/44 [00:08<00:37, 1.05s/it] 20%|██ | 9/44 [00:09<00:36, 1.05s/it] 23%|██▎ | 10/44 [00:10<00:35, 1.05s/it] 25%|██▌ | 11/44 [00:11<00:34, 1.05s/it] 27%|██▋ | 12/44 [00:12<00:33, 1.06s/it] 30%|██▉ | 13/44 [00:13<00:32, 1.06s/it] 32%|███▏ | 14/44 [00:14<00:31, 1.06s/it] 34%|███▍ | 15/44 [00:15<00:30, 1.06s/it] 36%|███▋ | 16/44 [00:16<00:29, 1.06s/it] 39%|███▊ | 17/44 [00:17<00:28, 1.06s/it] 41%|████ | 18/44 [00:18<00:27, 1.06s/it] 43%|████▎ | 19/44 [00:19<00:26, 1.06s/it] 45%|████▌ | 20/44 [00:20<00:25, 1.06s/it] 48%|████▊ | 21/44 [00:22<00:24, 1.06s/it] 50%|█████ | 22/44 [00:23<00:23, 1.06s/it] 52%|█████▏ | 23/44 [00:24<00:22, 1.06s/it] 55%|█████▍ | 24/44 [00:25<00:21, 1.06s/it] 57%|█████▋ | 25/44 [00:26<00:20, 1.06s/it] 59%|█████▉ | 26/44 [00:27<00:19, 1.06s/it] 61%|██████▏ | 27/44 [00:28<00:18, 1.06s/it] 64%|██████▎ | 28/44 [00:29<00:16, 1.06s/it] 66%|██████▌ | 29/44 [00:30<00:15, 1.06s/it] 68%|██████▊ | 30/44 [00:31<00:14, 1.06s/it] 70%|███████ | 31/44 [00:32<00:13, 1.06s/it] 73%|███████▎ | 32/44 [00:33<00:12, 1.06s/it] 75%|███████▌ | 33/44 [00:34<00:11, 1.06s/it] 77%|███████▋ | 34/44 [00:35<00:10, 1.06s/it] 80%|███████▉ | 35/44 [00:36<00:09, 1.06s/it] 82%|████████▏ | 36/44 [00:37<00:08, 1.06s/it] 84%|████████▍ | 37/44 [00:38<00:07, 1.06s/it] 86%|████████▋ | 38/44 [00:40<00:06, 1.06s/it] 89%|████████▊ | 39/44 [00:41<00:05, 1.06s/it] 91%|█████████ | 40/44 [00:42<00:04, 1.06s/it] 93%|█████████▎| 41/44 [00:43<00:03, 1.06s/it] 95%|█████████▌| 42/44 [00:44<00:02, 1.06s/it] 98%|█████████▊| 43/44 [00:45<00:01, 1.06s/it] 100%|██████████| 44/44 [00:46<00:00, 1.06s/it] 100%|██████████| 44/44 [00:46<00:00, 1.05s/it]
Version Details
- Version ID
c73571c04fc5ff0d1e6960431f3c65a77b3eabf371334a6cf7dfa73b71cc87b8- Version Created
- September 22, 2024