william-perez-dev/vegetius 🖼️🔢📝❓✓ → 🖼️
About
Generate images in the style of Vegetius, a writer of the Later Roman Empire. Start each prompt with: In the style of Vegetius, [your prompt]
Example Output
Prompt:
"In the style of Vegetius, an astronaut riding a rainbow unicorn, full frame"
Output
Performance Metrics
11.94s
Prediction Time
11.94s
Total Time
All Input Parameters
{
"width": 768,
"height": 1024,
"prompt": "In the style of Vegetius, an astronaut riding a rainbow unicorn, full frame",
"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": "disfigured, kitsch, ugly, oversaturated, grain, low-res, deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy",
"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: 26926 Prompt: In the style of <s0><s1>, an astronaut riding a rainbow unicorn, full frame txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:10, 4.71it/s] 4%|▍ | 2/50 [00:00<00:09, 4.85it/s] 6%|▌ | 3/50 [00:00<00:09, 4.89it/s] 8%|▊ | 4/50 [00:00<00:09, 4.90it/s] 10%|█ | 5/50 [00:01<00:09, 4.91it/s] 12%|█▏ | 6/50 [00:01<00:08, 4.91it/s] 14%|█▍ | 7/50 [00:01<00:08, 4.92it/s] 16%|█▌ | 8/50 [00:01<00:08, 4.91it/s] 18%|█▊ | 9/50 [00:01<00:08, 4.91it/s] 20%|██ | 10/50 [00:02<00:08, 4.91it/s] 22%|██▏ | 11/50 [00:02<00:07, 4.91it/s] 24%|██▍ | 12/50 [00:02<00:07, 4.91it/s] 26%|██▌ | 13/50 [00:02<00:07, 4.91it/s] 28%|██▊ | 14/50 [00:02<00:07, 4.91it/s] 30%|███ | 15/50 [00:03<00:07, 4.91it/s] 32%|███▏ | 16/50 [00:03<00:06, 4.91it/s] 34%|███▍ | 17/50 [00:03<00:06, 4.91it/s] 36%|███▌ | 18/50 [00:03<00:06, 4.91it/s] 38%|███▊ | 19/50 [00:03<00:06, 4.91it/s] 40%|████ | 20/50 [00:04<00:06, 4.91it/s] 42%|████▏ | 21/50 [00:04<00:05, 4.91it/s] 44%|████▍ | 22/50 [00:04<00:05, 4.91it/s] 46%|████▌ | 23/50 [00:04<00:05, 4.92it/s] 48%|████▊ | 24/50 [00:04<00:05, 4.92it/s] 50%|█████ | 25/50 [00:05<00:05, 4.92it/s] 52%|█████▏ | 26/50 [00:05<00:04, 4.93it/s] 54%|█████▍ | 27/50 [00:05<00:04, 4.93it/s] 56%|█████▌ | 28/50 [00:05<00:04, 4.93it/s] 58%|█████▊ | 29/50 [00:05<00:04, 4.93it/s] 60%|██████ | 30/50 [00:06<00:04, 4.94it/s] 62%|██████▏ | 31/50 [00:06<00:03, 4.94it/s] 64%|██████▍ | 32/50 [00:06<00:03, 4.94it/s] 66%|██████▌ | 33/50 [00:06<00:03, 4.93it/s] 68%|██████▊ | 34/50 [00:06<00:03, 4.93it/s] 70%|███████ | 35/50 [00:07<00:03, 4.93it/s] 72%|███████▏ | 36/50 [00:07<00:02, 4.93it/s] 74%|███████▍ | 37/50 [00:07<00:02, 4.93it/s] 76%|███████▌ | 38/50 [00:07<00:02, 4.93it/s] 78%|███████▊ | 39/50 [00:07<00:02, 4.94it/s] 80%|████████ | 40/50 [00:08<00:02, 4.94it/s] 82%|████████▏ | 41/50 [00:08<00:01, 4.93it/s] 84%|████████▍ | 42/50 [00:08<00:01, 4.92it/s] 86%|████████▌ | 43/50 [00:08<00:01, 4.93it/s] 88%|████████▊ | 44/50 [00:08<00:01, 4.93it/s] 90%|█████████ | 45/50 [00:09<00:01, 4.93it/s] 92%|█████████▏| 46/50 [00:09<00:00, 4.93it/s] 94%|█████████▍| 47/50 [00:09<00:00, 4.93it/s] 96%|█████████▌| 48/50 [00:09<00:00, 4.93it/s] 98%|█████████▊| 49/50 [00:09<00:00, 4.92it/s] 100%|██████████| 50/50 [00:10<00:00, 4.92it/s] 100%|██████████| 50/50 [00:10<00:00, 4.92it/s]
Version Details
- Version ID
f6682043699c74fe9de883e35da810ac6bdf90b86fb92d4db596303ac78d1c4d- Version Created
- September 8, 2023