aicapcut/anima-pencil-v310 🖼️🔢📝❓ → 🖼️
About
Generate anime-style image
Example Output
Prompt:
"a sunny tropical beach with palm trees and ocean waves in the background, bright day, clear blue sky"
Output
Performance Metrics
10.87s
Prediction Time
163.17s
Total Time
All Input Parameters
{
"width": 1024,
"height": 1024,
"prompt": "a sunny tropical beach with palm trees and ocean waves in the background, bright day, clear blue sky",
"strength": 0.8,
"scheduler": "K_EULER_ANCESTRAL",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7,
"negative_prompt": "text, watermark",
"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
- strength
- Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
- 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.
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Negative Input prompt
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Using seed: 7716 Prompt: a sunny tropical beach with palm trees and ocean waves in the background, bright day, clear blue sky txt2img mode 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:12, 3.14it/s] 5%|▌ | 2/40 [00:00<00:09, 4.01it/s] 8%|▊ | 3/40 [00:00<00:08, 4.38it/s] 10%|█ | 4/40 [00:00<00:07, 4.58it/s] 12%|█▎ | 5/40 [00:01<00:07, 4.70it/s] 15%|█▌ | 6/40 [00:01<00:07, 4.75it/s] 18%|█▊ | 7/40 [00:01<00:06, 4.80it/s] 20%|██ | 8/40 [00:01<00:06, 4.82it/s] 22%|██▎ | 9/40 [00:01<00:06, 4.84it/s] 25%|██▌ | 10/40 [00:02<00:06, 4.85it/s] 28%|██▊ | 11/40 [00:02<00:05, 4.86it/s] 30%|███ | 12/40 [00:02<00:05, 4.87it/s] 32%|███▎ | 13/40 [00:02<00:05, 4.87it/s] 35%|███▌ | 14/40 [00:02<00:05, 4.87it/s] 38%|███▊ | 15/40 [00:03<00:05, 4.87it/s] 40%|████ | 16/40 [00:03<00:04, 4.87it/s] 42%|████▎ | 17/40 [00:03<00:04, 4.86it/s] 45%|████▌ | 18/40 [00:03<00:04, 4.86it/s] 48%|████▊ | 19/40 [00:04<00:04, 4.87it/s] 50%|█████ | 20/40 [00:04<00:04, 4.87it/s] 52%|█████▎ | 21/40 [00:04<00:03, 4.86it/s] 55%|█████▌ | 22/40 [00:04<00:03, 4.86it/s] 57%|█████▊ | 23/40 [00:04<00:03, 4.87it/s] 60%|██████ | 24/40 [00:05<00:03, 4.87it/s] 62%|██████▎ | 25/40 [00:05<00:03, 4.87it/s] 65%|██████▌ | 26/40 [00:05<00:02, 4.86it/s] 68%|██████▊ | 27/40 [00:05<00:02, 4.86it/s] 70%|███████ | 28/40 [00:05<00:02, 4.86it/s] 72%|███████▎ | 29/40 [00:06<00:02, 4.86it/s] 75%|███████▌ | 30/40 [00:06<00:02, 4.86it/s] 78%|███████▊ | 31/40 [00:06<00:01, 4.86it/s] 80%|████████ | 32/40 [00:06<00:01, 4.85it/s] 82%|████████▎ | 33/40 [00:06<00:01, 4.87it/s] 85%|████████▌ | 34/40 [00:07<00:01, 4.88it/s] 88%|████████▊ | 35/40 [00:07<00:01, 4.89it/s] 90%|█████████ | 36/40 [00:07<00:00, 4.88it/s] 92%|█████████▎| 37/40 [00:07<00:00, 4.89it/s] 95%|█████████▌| 38/40 [00:07<00:00, 4.90it/s] 98%|█████████▊| 39/40 [00:08<00:00, 4.90it/s] 100%|██████████| 40/40 [00:08<00:00, 4.90it/s] 100%|██████████| 40/40 [00:08<00:00, 4.81it/s]
Version Details
- Version ID
a08697b284bb7dfcea5fa2b68717448a29a3b7c1c747ff8236092d20bfb469f6- Version Created
- May 3, 2024