fofr/illusions 🔢🖼️📝❓ → 🖼️
About
Create illusions with img2img and masking support
Example Output
Prompt:
"a painting of a 19th century town"
Output
Performance Metrics
2.56s
Prediction Time
2.57s
Total Time
All Input Parameters
{
"seed": -1,
"image": "https://replicate.delivery/pbxt/JouANiZNiW2mwouIgIk1VySvjL9MBmaPD6Ib8HyfW81CJzRR/out-0-44.png",
"width": 768,
"height": 768,
"prompt": "a painting of a 19th century town",
"num_outputs": 1,
"control_image": "https://replicate.delivery/pbxt/JouAO2zaHgb66YVChJagSYz0LcGqv3QgG4BS71mioFbBHWTZ/spiral_black_transparent-2513050263.jpg",
"controlnet_end": 1,
"guidance_scale": 7.5,
"negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
"prompt_strength": 0.75,
"sizing_strategy": "width/height",
"controlnet_start": 0,
"num_inference_steps": 40,
"controlnet_conditioning_scale": 0.75
}
Input Parameters
- seed
- image
- Optional img2img
- width
- height
- prompt
- mask_image
- Optional mask for inpainting
- num_outputs
- Number of outputs
- control_image
- Control image
- controlnet_end
- When controlnet conditioning ends
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- The negative prompt to guide image generation.
- prompt_strength
- Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
- sizing_strategy
- Decide how to resize images – use width/height, resize based on input image or control image
- controlnet_start
- When controlnet conditioning starts
- num_inference_steps
- Number of diffusion steps
- controlnet_conditioning_scale
- How strong the controlnet conditioning is
Output Schema
Output
Example Execution Logs
Using seed: 3311311052 img2img mode Using given dimensions 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:03, 8.15it/s] 10%|█ | 3/30 [00:00<00:02, 12.79it/s] 17%|█▋ | 5/30 [00:00<00:01, 14.25it/s] 23%|██▎ | 7/30 [00:00<00:01, 14.90it/s] 30%|███ | 9/30 [00:00<00:01, 15.31it/s] 37%|███▋ | 11/30 [00:00<00:01, 15.55it/s] 43%|████▎ | 13/30 [00:00<00:01, 15.67it/s] 50%|█████ | 15/30 [00:00<00:00, 15.76it/s] 57%|█████▋ | 17/30 [00:01<00:00, 15.83it/s] 63%|██████▎ | 19/30 [00:01<00:00, 15.86it/s] 70%|███████ | 21/30 [00:01<00:00, 15.88it/s] 77%|███████▋ | 23/30 [00:01<00:00, 15.89it/s] 83%|████████▎ | 25/30 [00:01<00:00, 15.90it/s] 90%|█████████ | 27/30 [00:01<00:00, 15.90it/s] 97%|█████████▋| 29/30 [00:01<00:00, 15.89it/s] 100%|██████████| 30/30 [00:01<00:00, 15.45it/s]
Version Details
- Version ID
579b32db82b24584c3c6155fe3ae12e8fce50ba28b575c23e8a1f5f3a5e99ed8- Version Created
- November 6, 2023