geeklab-ltd/app-icon-generator 🖼️🔢📝❓✓ → 🖼️
About
Generates game icons, For full use: appiconlab.com
Example Output
Prompt:
"3d character, surfer, looking at the camera, smiling, blue waves in the background, sunny beach, summer image of app icon,mobile app icon, stylized, mobile game icon"
Output
Performance Metrics
12.95s
Prediction Time
12.95s
Total Time
All Input Parameters
{
"width": 1024,
"height": 1024,
"prompt": "3d character, surfer, looking at the camera, smiling, blue waves in the background, sunny beach, summer image of app icon,mobile app icon, stylized, mobile game icon",
"refine": "no_refiner",
"scheduler": "K_EULER_ANCESTRAL",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"negative_prompt": "multiple characters,(worst quality:1.5), (low quality:1.5), (normal quality:1.5), lowres, bad anatomy, bad hands, multiple eyebrow, (cropped), extra limb, missing limbs, deformed hands, long neck, long body, (bad hands), signature, username, artist name, conjoined fingers, deformed fingers, ugly eyes, imperfect eyes, skewed eyes, unnatural face, unnatural body, error, painting by bad-artist,nsfw,porn,nudity,sexy",
"prompt_strength": 0.8,
"num_inference_steps": 40
}
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.
- lora_weights
- Replicate LoRA weights to use. Leave blank to use the default weights.
- 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
- 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](https://replicate.com/docs/how-does-replicate-work#safety)
Output Schema
Output
Example Execution Logs
Using seed: 6465 Prompt: 3d character, surfer, looking at the camera, smiling, blue waves in the background, sunny beach, summer image of <s0><s1>,mobile <s0><s1>, stylized, mobile game icon txt2img mode 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:10, 3.66it/s] 5%|▌ | 2/40 [00:00<00:10, 3.66it/s] 8%|▊ | 3/40 [00:00<00:10, 3.67it/s] 10%|█ | 4/40 [00:01<00:09, 3.67it/s] 12%|█▎ | 5/40 [00:01<00:09, 3.67it/s] 15%|█▌ | 6/40 [00:01<00:09, 3.67it/s] 18%|█▊ | 7/40 [00:01<00:09, 3.67it/s] 20%|██ | 8/40 [00:02<00:08, 3.66it/s] 22%|██▎ | 9/40 [00:02<00:08, 3.67it/s] 25%|██▌ | 10/40 [00:02<00:08, 3.67it/s] 28%|██▊ | 11/40 [00:03<00:07, 3.66it/s] 30%|███ | 12/40 [00:03<00:07, 3.66it/s] 32%|███▎ | 13/40 [00:03<00:07, 3.66it/s] 35%|███▌ | 14/40 [00:03<00:07, 3.66it/s] 38%|███▊ | 15/40 [00:04<00:06, 3.66it/s] 40%|████ | 16/40 [00:04<00:06, 3.66it/s] 42%|████▎ | 17/40 [00:04<00:06, 3.66it/s] 45%|████▌ | 18/40 [00:04<00:06, 3.66it/s] 48%|████▊ | 19/40 [00:05<00:05, 3.66it/s] 50%|█████ | 20/40 [00:05<00:05, 3.65it/s] 52%|█████▎ | 21/40 [00:05<00:05, 3.65it/s] 55%|█████▌ | 22/40 [00:06<00:04, 3.65it/s] 57%|█████▊ | 23/40 [00:06<00:04, 3.65it/s] 60%|██████ | 24/40 [00:06<00:04, 3.65it/s] 62%|██████▎ | 25/40 [00:06<00:04, 3.65it/s] 65%|██████▌ | 26/40 [00:07<00:03, 3.65it/s] 68%|██████▊ | 27/40 [00:07<00:03, 3.65it/s] 70%|███████ | 28/40 [00:07<00:03, 3.65it/s] 72%|███████▎ | 29/40 [00:07<00:03, 3.64it/s] 75%|███████▌ | 30/40 [00:08<00:02, 3.64it/s] 78%|███████▊ | 31/40 [00:08<00:02, 3.64it/s] 80%|████████ | 32/40 [00:08<00:02, 3.64it/s] 82%|████████▎ | 33/40 [00:09<00:01, 3.64it/s] 85%|████████▌ | 34/40 [00:09<00:01, 3.64it/s] 88%|████████▊ | 35/40 [00:09<00:01, 3.64it/s] 90%|█████████ | 36/40 [00:09<00:01, 3.64it/s] 92%|█████████▎| 37/40 [00:10<00:00, 3.64it/s] 95%|█████████▌| 38/40 [00:10<00:00, 3.64it/s] 98%|█████████▊| 39/40 [00:10<00:00, 3.64it/s] 100%|██████████| 40/40 [00:10<00:00, 3.64it/s] 100%|██████████| 40/40 [00:10<00:00, 3.65it/s]
Version Details
- Version ID
a560ef7ec076588668ce30f84e638aec5c409212a5a755346422ebb832eff77a- Version Created
- January 11, 2024