hilongjw/sdxl-cybertruck 🖼️🔢📝❓✓ → 🖼️
About
Example Output
Prompt:
"In the style of TOK, a cyber punk style truck running on road"
Output
Performance Metrics
9.91s
Prediction Time
13.88s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/JzPGEr3EMkQ2lsvRgEsGeOKiyKMd44o0dIKneQGwTwRIb2j6/best_sportscar_511.jpg",
"width": 1024,
"height": 1024,
"prompt": "In the style of TOK, a cyber punk style truck running on road",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"negative_prompt": "NSFW",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
Input Parameters
- mask
- Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
- seed
- Random seed. Leave blank to randomize the seed
- image
- Input image for img2img or inpaint mode
- width
- Width of output image
- height
- Height of output image
- prompt
- Input prompt
- refine
- Which refine style to use
- scheduler
- scheduler
- lora_scale
- LoRA additive scale. Only applicable on trained models.
- num_outputs
- Number of images to output.
- refine_steps
- For base_image_refiner, the number of steps to refine, defaults to num_inference_steps
- guidance_scale
- Scale for classifier-free guidance
- apply_watermark
- Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.
- high_noise_frac
- For expert_ensemble_refiner, the fraction of noise to use
- negative_prompt
- Input Negative Prompt
- prompt_strength
- Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
- replicate_weights
- Replicate LoRA weights to use. Leave blank to use the default weights.
- num_inference_steps
- Number of denoising steps
- disable_safety_checker
- Disable safety checker for generated images. This feature is only available through the API. See https://replicate.com/docs/how-does-replicate-work#safety
Output Schema
Output
Example Execution Logs
Using seed: 40573 Ensuring enough disk space... Free disk space: 502752096256 Downloading weights: https://replicate.delivery/pbxt/XTZEf1Rm6eiRR01QOcf87qh5tDHelbGJhlsYPteq2pe0fmafRA/trained_model.tar b'Downloaded 186 MB bytes in 0.434s (429 MB/s)\nExtracted 186 MB in 0.047s (4.0 GB/s)\n' Downloaded weights in 0.5696749687194824 seconds Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: In the style of <s0><s1>, a cyber punk style truck running on road img2img mode 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:07, 5.19it/s] 5%|▌ | 2/40 [00:00<00:06, 5.46it/s] 8%|▊ | 3/40 [00:00<00:06, 5.55it/s] 10%|█ | 4/40 [00:00<00:06, 5.59it/s] 12%|█▎ | 5/40 [00:00<00:06, 5.61it/s] 15%|█▌ | 6/40 [00:01<00:06, 5.63it/s] 18%|█▊ | 7/40 [00:01<00:05, 5.63it/s] 20%|██ | 8/40 [00:01<00:05, 5.64it/s] 22%|██▎ | 9/40 [00:01<00:05, 5.64it/s] 25%|██▌ | 10/40 [00:01<00:05, 5.65it/s] 28%|██▊ | 11/40 [00:01<00:05, 5.64it/s] 30%|███ | 12/40 [00:02<00:04, 5.65it/s] 32%|███▎ | 13/40 [00:02<00:04, 5.65it/s] 35%|███▌ | 14/40 [00:02<00:04, 5.65it/s] 38%|███▊ | 15/40 [00:02<00:04, 5.64it/s] 40%|████ | 16/40 [00:02<00:04, 5.65it/s] 42%|████▎ | 17/40 [00:03<00:04, 5.64it/s] 45%|████▌ | 18/40 [00:03<00:03, 5.65it/s] 48%|████▊ | 19/40 [00:03<00:03, 5.64it/s] 50%|█████ | 20/40 [00:03<00:03, 5.64it/s] 52%|█████▎ | 21/40 [00:03<00:03, 5.64it/s] 55%|█████▌ | 22/40 [00:03<00:03, 5.65it/s] 57%|█████▊ | 23/40 [00:04<00:03, 5.65it/s] 60%|██████ | 24/40 [00:04<00:02, 5.64it/s] 62%|██████▎ | 25/40 [00:04<00:02, 5.65it/s] 65%|██████▌ | 26/40 [00:04<00:02, 5.65it/s] 68%|██████▊ | 27/40 [00:04<00:02, 5.66it/s] 70%|███████ | 28/40 [00:04<00:02, 5.67it/s] 72%|███████▎ | 29/40 [00:05<00:01, 5.67it/s] 75%|███████▌ | 30/40 [00:05<00:01, 5.68it/s] 78%|███████▊ | 31/40 [00:05<00:01, 5.68it/s] 80%|████████ | 32/40 [00:05<00:01, 5.68it/s] 82%|████████▎ | 33/40 [00:05<00:01, 5.68it/s] 85%|████████▌ | 34/40 [00:06<00:01, 5.68it/s] 88%|████████▊ | 35/40 [00:06<00:00, 5.67it/s] 90%|█████████ | 36/40 [00:06<00:00, 5.67it/s] 92%|█████████▎| 37/40 [00:06<00:00, 5.67it/s] 95%|█████████▌| 38/40 [00:06<00:00, 5.67it/s] 98%|█████████▊| 39/40 [00:06<00:00, 5.67it/s] 100%|██████████| 40/40 [00:07<00:00, 5.67it/s] 100%|██████████| 40/40 [00:07<00:00, 5.65it/s]
Version Details
- Version ID
ddda6f9ed4804c43c7258c1e0762be4ebba0bd9bae3b76b70bbece58b3321bda- Version Created
- December 5, 2023