xinyiz/neuralgrass 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"a high resolution orthographic top view tiled texture of repeating soft grass ERAUERIEGERNSLVRSAS for a magical dream garden with plants flowers butterflies soft glow of moonlight nourishing water healing energy mysteries "
Output
Performance Metrics
11.04s
Prediction Time
15.80s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "a high resolution orthographic top view tiled texture of repeating soft grass ERAUERIEGERNSLVRSAS for a magical dream garden with plants flowers butterflies soft glow of moonlight nourishing water healing energy mysteries ",
"go_fast": false,
"lora_scale": 0.9,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 2,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 38
}
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
free=26229654011904 Downloading weights 2025-08-01T10:09:49Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpuxjpoylt/weights url=https://replicate.delivery/xezq/2hX3ygdmjU5UDBuxp5Kw7AzcKJK3qa6Grg8RuXuW5Fm8fRjKA/flux-lora.tar 2025-08-01T10:09:49Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-08-01T10:09:49Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/2hX3ygdmjU5UDBuxp5Kw7AzcKJK3qa6Grg8RuXuW5Fm8fRjKA/flux-lora.tar url=https://replicate.delivery/xezq/2hX3ygdmjU5UDBuxp5Kw7AzcKJK3qa6Grg8RuXuW5Fm8fRjKA/flux-lora.tar 2025-08-01T10:09:49Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/b15a5b5da2161f75dbff87910ec4249ce4bb3bc1e80cf91510f33c41dfc5b186?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250801%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250801T100949Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=45c00d107d6ae1f50e988d9a9bb834cb3c0c225ceb348530ca70edf1898393b3 url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/2hX3ygdmjU5UDBuxp5Kw7AzcKJK3qa6Grg8RuXuW5Fm8fRjKA/flux-lora.tar 2025-08-01T10:09:50Z | INFO | [ Complete ] dest=/tmp/tmpuxjpoylt/weights size="172 MB" total_elapsed=0.281s url=https://replicate.delivery/xezq/2hX3ygdmjU5UDBuxp5Kw7AzcKJK3qa6Grg8RuXuW5Fm8fRjKA/flux-lora.tar Downloaded weights in 0.34s Loaded LoRAs in 0.87s Using seed: 49279 Prompt: a high resolution orthographic top view tiled texture of repeating soft grass ERAUERIEGERNSLVRSAS for a magical dream garden with plants flowers butterflies soft glow of moonlight nourishing water healing energy mysteries [!] txt2img mode 0%| | 0/38 [00:00<?, ?it/s] 3%|▎ | 1/38 [00:00<00:09, 3.73it/s] 5%|▌ | 2/38 [00:00<00:08, 4.13it/s] 8%|▊ | 3/38 [00:00<00:08, 4.00it/s] 11%|█ | 4/38 [00:01<00:08, 3.93it/s] 13%|█▎ | 5/38 [00:01<00:08, 3.90it/s] 16%|█▌ | 6/38 [00:01<00:08, 3.88it/s] 18%|█▊ | 7/38 [00:01<00:08, 3.86it/s] 21%|██ | 8/38 [00:02<00:07, 3.86it/s] 24%|██▎ | 9/38 [00:02<00:07, 3.85it/s] 26%|██▋ | 10/38 [00:02<00:07, 3.85it/s] 29%|██▉ | 11/38 [00:02<00:07, 3.84it/s] 32%|███▏ | 12/38 [00:03<00:06, 3.85it/s] 34%|███▍ | 13/38 [00:03<00:06, 3.85it/s] 37%|███▋ | 14/38 [00:03<00:06, 3.84it/s] 39%|███▉ | 15/38 [00:03<00:05, 3.84it/s] 42%|████▏ | 16/38 [00:04<00:05, 3.84it/s] 45%|████▍ | 17/38 [00:04<00:05, 3.84it/s] 47%|████▋ | 18/38 [00:04<00:05, 3.84it/s] 50%|█████ | 19/38 [00:04<00:04, 3.84it/s] 53%|█████▎ | 20/38 [00:05<00:04, 3.84it/s] 55%|█████▌ | 21/38 [00:05<00:04, 3.84it/s] 58%|█████▊ | 22/38 [00:05<00:04, 3.83it/s] 61%|██████ | 23/38 [00:05<00:03, 3.84it/s] 63%|██████▎ | 24/38 [00:06<00:03, 3.83it/s] 66%|██████▌ | 25/38 [00:06<00:03, 3.84it/s] 68%|██████▊ | 26/38 [00:06<00:03, 3.84it/s] 71%|███████ | 27/38 [00:07<00:02, 3.84it/s] 74%|███████▎ | 28/38 [00:07<00:02, 3.84it/s] 76%|███████▋ | 29/38 [00:07<00:02, 3.84it/s] 79%|███████▉ | 30/38 [00:07<00:02, 3.84it/s] 82%|████████▏ | 31/38 [00:08<00:01, 3.84it/s] 84%|████████▍ | 32/38 [00:08<00:01, 3.84it/s] 87%|████████▋ | 33/38 [00:08<00:01, 3.84it/s] 89%|████████▉ | 34/38 [00:08<00:01, 3.84it/s] 92%|█████████▏| 35/38 [00:09<00:00, 3.84it/s] 95%|█████████▍| 36/38 [00:09<00:00, 3.83it/s] 97%|█████████▋| 37/38 [00:09<00:00, 3.84it/s] 100%|██████████| 38/38 [00:09<00:00, 3.84it/s] 100%|██████████| 38/38 [00:09<00:00, 3.85it/s] Total safe images: 1 out of 1
Version Details
- Version ID
57ad97450f67a4c29a29c67012a50d67c1839edeb813653b1ec496628a11dd0b- Version Created
- August 1, 2025