jagilley/stable-diffusion-depth2img 🔢📝❓🖼️ → 🖼️
About
Create variations of an image while preserving shape and depth

Example Output
Prompt:
"wanderer above a cyberpunk city, 4k digital art rendering by caspar david friedrich"
Output

Performance Metrics
11.80s
Prediction Time
21.58s
Total Time
All Input Parameters
{ "seed": -1, "prompt": "wanderer above a cyberpunk city, 4k digital art rendering by caspar david friedrich", "scheduler": "DPMSolverMultistep", "input_image": "https://replicate.delivery/pbxt/ICo443xcFQGIK4lawWN3ytMNDZsmZS6fZfjGYwFP6Dc5Vfnq/wanderer.jpeg", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": 50 }
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- prompt
- The prompt to guide the image generation.
- scheduler
- Choose a scheduler
- depth_image
- Depth image (optional). Specifies the depth of each pixel in the input image.
- input_image (required)
- Input image to be used as the starting point
- num_outputs
- Number of images to generate
- guidance_scale
- Scale for classifier-free guidance. Higher guidance scale encourages to generate images that are closely linked to the text prompt, usually at the expense of lower image quality.
- negative_prompt
- Keywords to exclude from the resulting image
- prompt_strength
- Prompt strength when providing the image. 1.0 corresponds to full destruction of information in init image.
- num_inference_steps
- The number of denoising steps. More denoising steps usually lead to a higher quality image at the expense of slower inference.
Output Schema
Output
Example Execution Logs
Using seed: -1 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:04<03:14, 4.99s/it] 8%|▊ | 3/40 [00:05<00:49, 1.35s/it] 12%|█▎ | 5/40 [00:05<00:24, 1.46it/s] 18%|█▊ | 7/40 [00:05<00:13, 2.37it/s] 22%|██▎ | 9/40 [00:05<00:08, 3.48it/s] 28%|██▊ | 11/40 [00:05<00:06, 4.78it/s] 32%|███▎ | 13/40 [00:05<00:04, 6.23it/s] 38%|███▊ | 15/40 [00:05<00:03, 7.75it/s] 42%|████▎ | 17/40 [00:06<00:02, 9.23it/s] 48%|████▊ | 19/40 [00:06<00:01, 10.56it/s] 52%|█████▎ | 21/40 [00:06<00:01, 11.78it/s] 57%|█████▊ | 23/40 [00:06<00:01, 12.76it/s] 62%|██████▎ | 25/40 [00:06<00:01, 13.49it/s] 68%|██████▊ | 27/40 [00:06<00:00, 14.10it/s] 72%|███████▎ | 29/40 [00:06<00:00, 14.60it/s] 78%|███████▊ | 31/40 [00:06<00:00, 14.96it/s] 82%|████████▎ | 33/40 [00:07<00:00, 15.19it/s] 88%|████████▊ | 35/40 [00:07<00:00, 15.31it/s] 92%|█████████▎| 37/40 [00:07<00:00, 15.46it/s] 98%|█████████▊| 39/40 [00:07<00:00, 15.50it/s] 100%|██████████| 40/40 [00:07<00:00, 5.35it/s]
Version Details
- Version ID
68f699d395bc7c17008283a7cef6d92edc832d8dc59eb41a6cafec7fc70b85bc
- Version Created
- January 26, 2023