tillemanm/airrange 🖼️🔢❓📝✓ → 🖼️
About
interior ai
Example Output
Prompt:
" a sleek, modern living room, The room features minimalist yet elegant furniture, such as a low-profile leather sofa in a neutral tone, complemented by a glass coffee table with chrome accents, warm ambient light from recessed ceiling fixtures and a stylish pendant lamp hanging over the seating area, A large abstract painting or statement art piece decorates one wall, The color palette is a mix of soft grays, whites, and blacks with touches of metallic elements, creating a sophisticated yet cozy ambiance, A plush area rug anchors the seating area, Potted plants bring in a touch of greenery, The overall vibe is one of understated luxury, merging the comfort of home, the windows are overlooking skyscrapers"
Output
Performance Metrics
46.75s
Prediction Time
46.75s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/Lc0omHYy4o85lfw2YPfgHfiKXdUv62MMA9JYpafvk2o93qfX/1000_F_221448410_fH00fRvgGU7V1yRGpLMKuacsC82UETrj.jpg",
"model": "dev",
"prompt": " a sleek, modern living room, The room features minimalist yet elegant furniture, such as a low-profile leather sofa in a neutral tone, complemented by a glass coffee table with chrome accents, warm ambient light from recessed ceiling fixtures and a stylish pendant lamp hanging over the seating area, A large abstract painting or statement art piece decorates one wall, The color palette is a mix of soft grays, whites, and blacks with touches of metallic elements, creating a sophisticated yet cozy ambiance, A plush area rug anchors the seating area, Potted plants bring in a touch of greenery, The overall vibe is one of understated luxury, merging the comfort of home, the windows are overlooking skyscrapers",
"lora_scale": 1,
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 90,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
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: 55946 Prompt: a sleek, modern living room, The room features minimalist yet elegant furniture, such as a low-profile leather sofa in a neutral tone, complemented by a glass coffee table with chrome accents, warm ambient light from recessed ceiling fixtures and a stylish pendant lamp hanging over the seating area, A large abstract painting or statement art piece decorates one wall, The color palette is a mix of soft grays, whites, and blacks with touches of metallic elements, creating a sophisticated yet cozy ambiance, A plush area rug anchors the seating area, Potted plants bring in a touch of greenery, The overall vibe is one of understated luxury, merging the comfort of home, the windows are overlooking skyscrapers [!] img2img mode Using dev model for img2img Using dev model free=6745265340416 Downloading weights 2024-09-12T20:28:45Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpkzlunsbd/weights url=https://replicate.delivery/yhqm/lCGFeWAIpXXEYqunpnbIrMxDf1gKc6cNTTDcnduULhpPENcTA/trained_model.tar 2024-09-12T20:28:46Z | INFO | [ Complete ] dest=/tmp/tmpkzlunsbd/weights size="172 MB" total_elapsed=1.794s url=https://replicate.delivery/yhqm/lCGFeWAIpXXEYqunpnbIrMxDf1gKc6cNTTDcnduULhpPENcTA/trained_model.tar Downloaded weights in 1.83s Loaded LoRAs in 41.31s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:21, 1.01it/s] 9%|▊ | 2/23 [00:01<00:10, 1.96it/s] 13%|█▎ | 3/23 [00:01<00:07, 2.81it/s] 17%|█▋ | 4/23 [00:01<00:05, 3.52it/s] 22%|██▏ | 5/23 [00:01<00:04, 4.10it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.55it/s] 30%|███ | 7/23 [00:02<00:03, 4.89it/s] 35%|███▍ | 8/23 [00:02<00:02, 5.15it/s] 39%|███▉ | 9/23 [00:02<00:02, 5.33it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.47it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.56it/s] 52%|█████▏ | 12/23 [00:02<00:01, 5.63it/s] 57%|█████▋ | 13/23 [00:03<00:01, 5.68it/s] 61%|██████ | 14/23 [00:03<00:01, 5.71it/s] 65%|██████▌ | 15/23 [00:03<00:01, 5.73it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.75it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.74it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.76it/s] 83%|████████▎ | 19/23 [00:04<00:00, 5.77it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.77it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.77it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.78it/s] 100%|██████████| 23/23 [00:04<00:00, 5.78it/s] 100%|██████████| 23/23 [00:04<00:00, 4.79it/s]
Version Details
- Version ID
3e77fbeed790ae407424e0d664215efc203369e43c06ff2c4ffd7a5e5bac3553- Version Created
- November 6, 2024