copilot-us/maria-prymachenko 🖼️🔢📝❓✓ → 🖼️
About
Inspired by the vibrant and imaginative style of Ukrainian folk artist Maria Prymachenko, this AI model specializes in creating whimsical and colorful artworks that reflect the essence of traditional folklore and nature themes.

Example Output
Prompt:
"A mythical cow with big sharp teeth in the night sky in the style of TOK. "
Output

Performance Metrics
17.51s
Prediction Time
27.54s
Total Time
All Input Parameters
{ "width": 1024, "height": 1024, "prompt": "A mythical cow with big sharp teeth in the night sky in the style of TOK. ", "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": "", "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: 29795 Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: A mythical cow with big sharp teeth in the night sky in the style of <s0><s1>. txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.51it/s] 4%|▍ | 2/50 [00:00<00:13, 3.49it/s] 6%|▌ | 3/50 [00:00<00:13, 3.49it/s] 8%|▊ | 4/50 [00:01<00:13, 3.49it/s] 10%|█ | 5/50 [00:01<00:12, 3.48it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.48it/s] 14%|█▍ | 7/50 [00:02<00:12, 3.48it/s] 16%|█▌ | 8/50 [00:02<00:12, 3.49it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.48it/s] 20%|██ | 10/50 [00:02<00:11, 3.48it/s] 22%|██▏ | 11/50 [00:03<00:11, 3.48it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.48it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.48it/s] 28%|██▊ | 14/50 [00:04<00:10, 3.48it/s] 30%|███ | 15/50 [00:04<00:10, 3.48it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.48it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.48it/s] 36%|███▌ | 18/50 [00:05<00:09, 3.47it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.47it/s] 40%|████ | 20/50 [00:05<00:08, 3.47it/s] 42%|████▏ | 21/50 [00:06<00:08, 3.47it/s] 44%|████▍ | 22/50 [00:06<00:08, 3.47it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.47it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.47it/s] 50%|█████ | 25/50 [00:07<00:07, 3.47it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.47it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.47it/s] 56%|█████▌ | 28/50 [00:08<00:06, 3.47it/s] 58%|█████▊ | 29/50 [00:08<00:06, 3.47it/s] 60%|██████ | 30/50 [00:08<00:05, 3.47it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.47it/s] 64%|██████▍ | 32/50 [00:09<00:05, 3.47it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.47it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.47it/s] 70%|███████ | 35/50 [00:10<00:04, 3.47it/s] 72%|███████▏ | 36/50 [00:10<00:04, 3.46it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.46it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.46it/s] 78%|███████▊ | 39/50 [00:11<00:03, 3.46it/s] 80%|████████ | 40/50 [00:11<00:02, 3.46it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.46it/s] 84%|████████▍ | 42/50 [00:12<00:02, 3.46it/s] 86%|████████▌ | 43/50 [00:12<00:02, 3.46it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.46it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.46it/s] 92%|█████████▏| 46/50 [00:13<00:01, 3.46it/s] 94%|█████████▍| 47/50 [00:13<00:00, 3.46it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.46it/s] 98%|█████████▊| 49/50 [00:14<00:00, 3.45it/s] 100%|██████████| 50/50 [00:14<00:00, 3.45it/s] 100%|██████████| 50/50 [00:14<00:00, 3.47it/s]
Version Details
- Version ID
6af6a92b15f665f9d783baac6db56fa58f5259a90cd7f677f68851d4ddaabc98
- Version Created
- December 9, 2023