prompthero/openjourney 🖼️🔢❓📝 → 🖼️
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
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
- Optional Mask to use for legacy inpainting
- seed
- Random seed. Leave blank to randomize the seed
- image
- Optional Image to use for img2img guidance
- width
- Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- height
- Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- prompt
- Input prompt
- scheduler
- Choose a scheduler.
- num_outputs
- Number of images to output.
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Specify things to not see in the output
- prompt_strength
- Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
- num_inference_steps
- Number of denoising steps
Output Schema
Output
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