cozyuj/ev-car-maker 🖼️🔢❓📝✓ → 🖼️
About

Example Output
"
ultra realistic, hyper detailed, 8k, 16k, ultra high resolution, sharp focus, architectural visualization render, octane render, unreal engine quality
futuristic electric car concept, inspired by Hyundai Ioniq 6,
streamlined aerodynamic body with "curve of steel" design for optimized airflow,
parametric pixel inspired LED headlights and taillights, energy-efficient adaptive illumination,
integrated active cooling vents for battery thermal management, lightweight aluminum and carbon fiber panels,
sleek coupe-like design with aerodynamic underbody, solar roof panels for auxiliary power,
design influences:
Tesla futuristic clean surfaces, smooth minimalist glass roof, high efficiency aerodynamic silhouette::3,
Audi precision-engineered metallic minimalism, subtle sharp lines::2,
Bentley luxury craftsmanship with functional aerodynamics::2,
Porsche sporty curves minimal::0.2,
ultra realistic, hyper detailed, photorealistic automotive concept render, daylight and soft studio lighting, high fidelity reflections, 8k resolution, engineering concept visualization
hyper futuristic, visionary next-gen EV, photorealistic studio concept render, cinematic lighting, ultra detailed, 8k, sharp focus, high contrast reflections, concept art, innovative automotive design
no blurry, no lowres, no noisy, no distorted, no oversaturated, no cartoon, no anime, no low quality, no duplicate objects, no broken architecture, no text, no watermark
"Output

Performance Metrics
All Input Parameters
{ "model": "dev", "prompt": "ultra realistic, hyper detailed, 8k, 16k, ultra high resolution, sharp focus, architectural visualization render, octane render, unreal engine quality\n\nfuturistic electric car concept, inspired by Hyundai Ioniq 6, \nstreamlined aerodynamic body with \"curve of steel\" design for optimized airflow, \nparametric pixel inspired LED headlights and taillights, energy-efficient adaptive illumination, \nintegrated active cooling vents for battery thermal management, lightweight aluminum and carbon fiber panels, \nsleek coupe-like design with aerodynamic underbody, solar roof panels for auxiliary power, \ndesign influences: \nTesla futuristic clean surfaces, smooth minimalist glass roof, high efficiency aerodynamic silhouette::3, \nAudi precision-engineered metallic minimalism, subtle sharp lines::2, \nBentley luxury craftsmanship with functional aerodynamics::2, \nPorsche sporty curves minimal::0.2, \n\nultra realistic, hyper detailed, photorealistic automotive concept render, daylight and soft studio lighting, high fidelity reflections, 8k resolution, engineering concept visualization\n\n\n\n\nhyper futuristic, visionary next-gen EV, photorealistic studio concept render, cinematic lighting, ultra detailed, 8k, sharp focus, high contrast reflections, concept art, innovative automotive design\n\n\n\nno blurry, no lowres, no noisy, no distorted, no oversaturated, no cartoon, no anime, no low quality, no duplicate objects, no broken architecture, no text, no watermark", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "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
free=24471920779264 Downloading weights 2025-09-24T07:28:12Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpsk30x27e/weights url=https://replicate.delivery/xezq/w3rg1uiXZEJaONSqgyeCweeesg4ASm0R17khcep5cdgY7lCrC/trained_model.tar 2025-09-24T07:28:12Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-09-24T07:28:12Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/w3rg1uiXZEJaONSqgyeCweeesg4ASm0R17khcep5cdgY7lCrC/trained_model.tar url=https://replicate.delivery/xezq/w3rg1uiXZEJaONSqgyeCweeesg4ASm0R17khcep5cdgY7lCrC/trained_model.tar 2025-09-24T07:28:12Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/51078ed799b4bf06fc6262ce5ddf6497775ab711ec2481b3c57b720fe468df8f?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250924%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250924T072812Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=4f3f23a40ab5b4ac44ba8c0d70fac3b59c85bc2c6c05b9f8c0874b24114940cb url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/w3rg1uiXZEJaONSqgyeCweeesg4ASm0R17khcep5cdgY7lCrC/trained_model.tar 2025-09-24T07:28:12Z | INFO | [ Complete ] dest=/tmp/tmpsk30x27e/weights size="172 MB" total_elapsed=0.250s url=https://replicate.delivery/xezq/w3rg1uiXZEJaONSqgyeCweeesg4ASm0R17khcep5cdgY7lCrC/trained_model.tar Downloaded weights in 0.31s Loaded LoRAs in 1.31s Using seed: 54677 Prompt: ultra realistic, hyper detailed, 8k, 16k, ultra high resolution, sharp focus, architectural visualization render, octane render, unreal engine quality futuristic electric car concept, inspired by Hyundai Ioniq 6, streamlined aerodynamic body with "curve of steel" design for optimized airflow, parametric pixel inspired LED headlights and taillights, energy-efficient adaptive illumination, integrated active cooling vents for battery thermal management, lightweight aluminum and carbon fiber panels, sleek coupe-like design with aerodynamic underbody, solar roof panels for auxiliary power, design influences: Tesla futuristic clean surfaces, smooth minimalist glass roof, high efficiency aerodynamic silhouette::3, Audi precision-engineered metallic minimalism, subtle sharp lines::2, Bentley luxury craftsmanship with functional aerodynamics::2, Porsche sporty curves minimal::0.2, ultra realistic, hyper detailed, photorealistic automotive concept render, daylight and soft studio lighting, high fidelity reflections, 8k resolution, engineering concept visualization hyper futuristic, visionary next-gen EV, photorealistic studio concept render, cinematic lighting, ultra detailed, 8k, sharp focus, high contrast reflections, concept art, innovative automotive design no blurry, no lowres, no noisy, no distorted, no oversaturated, no cartoon, no anime, no low quality, no duplicate objects, no broken architecture, no text, no watermark [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.80it/s] 7%|▋ | 2/28 [00:00<00:06, 4.30it/s] 11%|█ | 3/28 [00:00<00:06, 4.06it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.94it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.88it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.85it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.83it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.82it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.80it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.79it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.80it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.79it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.79it/s] 50%|█████ | 14/28 [00:03<00:03, 3.79it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.79it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.79it/s] 61%|██████ | 17/28 [00:04<00:02, 3.78it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.78it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.79it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.78it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.78it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.79it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.78it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.78it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.78it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.78it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.78it/s] 100%|██████████| 28/28 [00:07<00:00, 3.81it/s] Total safe images: 1 out of 1
Version Details
- Version ID
17674c22cfbb06376cffdb6f53f7a4e544a5c21e9f71e645b7d30dd6f79b0255
- Version Created
- September 24, 2025