prompthero/openjourney 🖼️🔢❓📝 → 🖼️

▶️ 12.1M runs 📅 Nov 2022 ⚙️ Cog 0.7.2 📄 Paper
image-inpainting image-to-image text-to-image

About

Stable Diffusion fine tuned on Midjourney v4 images.

Example Output

Prompt:

"mdjrny-v4 style portrait of female elf, intricate, elegant, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by artgerm and greg rutkowski and alphonse mucha, 8k"

Output

Example output

Performance Metrics

4.00s Prediction Time
3.78s Total Time
All Input Parameters
{
  "seed": null,
  "width": 512,
  "height": 512,
  "prompt": "mdjrny-v4 style portrait of female elf, intricate, elegant, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by artgerm and greg rutkowski and alphonse mucha, 8k",
  "num_outputs": 1,
  "guidance_scale": "7",
  "num_inference_steps": 50
}
Input Parameters
mask Type: string
Optional Mask to use for legacy inpainting
seed Type: integer
Random seed. Leave blank to randomize the seed
image Type: string
Optional Image to use for img2img guidance
width Default: 512
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height Default: 512
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
prompt Type: stringDefault: a photo of an astronaut riding a horse on mars
Input prompt
scheduler Default: DPMSolverMultistep
Choose a scheduler.
num_outputs Type: integerDefault: 1Range: 1 - 10
Number of images to output.
guidance_scale Type: numberDefault: 7.5Range: 1 - 20
Scale for classifier-free guidance
negative_prompt Type: string
Specify things to not see in the output
prompt_strength Type: numberDefault: 0.8
Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
num_inference_steps Type: integerDefault: 50Range: 1 - 500
Number of denoising steps
Output Schema

Output

Type: arrayItems Type: stringItems Format: uri

Example Execution Logs
Using seed: 46041
Global seed set to 46041
  0%|          | 0/50 [00:00<?, ?it/s]
  4%|▍         | 2/50 [00:00<00:03, 13.23it/s]
  8%|▊         | 4/50 [00:00<00:03, 13.55it/s]
 12%|█▏        | 6/50 [00:00<00:03, 13.93it/s]
 16%|█▌        | 8/50 [00:00<00:02, 14.09it/s]
 20%|██        | 10/50 [00:00<00:02, 14.08it/s]
 24%|██▍       | 12/50 [00:00<00:02, 13.94it/s]
 28%|██▊       | 14/50 [00:01<00:02, 14.03it/s]
 32%|███▏      | 16/50 [00:01<00:02, 14.05it/s]
 36%|███▌      | 18/50 [00:01<00:02, 14.11it/s]
 40%|████      | 20/50 [00:01<00:02, 14.17it/s]
 44%|████▍     | 22/50 [00:01<00:01, 14.22it/s]
 48%|████▊     | 24/50 [00:01<00:01, 14.27it/s]
 52%|█████▏    | 26/50 [00:01<00:01, 14.30it/s]
 56%|█████▌    | 28/50 [00:01<00:01, 14.32it/s]
 60%|██████    | 30/50 [00:02<00:01, 14.31it/s]
 64%|██████▍   | 32/50 [00:02<00:01, 14.30it/s]
 68%|██████▊   | 34/50 [00:02<00:01, 14.29it/s]
 72%|███████▏  | 36/50 [00:02<00:00, 14.29it/s]
 76%|███████▌  | 38/50 [00:02<00:00, 14.33it/s]
 80%|████████  | 40/50 [00:02<00:00, 14.04it/s]
 84%|████████▍ | 42/50 [00:02<00:00, 14.09it/s]
 88%|████████▊ | 44/50 [00:03<00:00, 14.15it/s]
 92%|█████████▏| 46/50 [00:03<00:00, 14.20it/s]
 96%|█████████▌| 48/50 [00:03<00:00, 14.18it/s]
100%|██████████| 50/50 [00:03<00:00, 14.18it/s]
100%|██████████| 50/50 [00:03<00:00, 14.15it/s]
Version Details
Version ID
ad59ca21177f9e217b9075e7300cf6e14f7e5b4505b87b9689dbd866e9768969
Version Created
June 7, 2023
Run on Replicate →