aramintak/lost-and-lonely-manga 🔢📝❓✓ → 🖼️
About
A manga style

Example Output
Prompt:
"a cute kid witch with a black cat friend"
Output

Performance Metrics
5.80s
Prediction Time
5.84s
Total Time
All Input Parameters
{ "width": 1024, "height": 1024, "prompt": "a cute kid witch with a black cat friend", "sampler": "Default", "scheduler": "Default", "lora_strength": 1, "output_format": "webp", "output_quality": 80, "negative_prompt": "", "number_of_images": 1 }
Input Parameters
- cfg
- Advanced. Leave empty to use recommended CFG (classifier free guidance). This changes how much the prompt influences the output. Set it only if you want to customise.
- seed
- Set a seed for reproducibility. Random by default.
- steps
- Advanced. Leave empty to use recommended steps. Set it only if you want to customise the number of steps to run the sampler for.
- width
- height
- prompt
- sampler
- Advanced. Change the sampler used for generation. Default is what we think gives the best images.
- scheduler
- Advanced. Change the scheduler used for generation. Default is what we think gives the best images.
- lora_strength
- Strength of the lora to use for the generation. Default is 1.0.
- output_format
- Format of the output images
- output_quality
- Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.
- negative_prompt
- Things you do not want to see in your image
- number_of_images
- Number of images to generate
- disable_safety_checker
- Disable safety checker for generated images.
Output Schema
Output
Example Execution Logs
Random seed set to: 666575645 ============================== Generation settings Sampler: dpmpp_2m_sde_gpu Scheduler: karras Steps: 20 CFG: 6.5 LORA: Using a lora. Lora strength: 1.0 ============================== Running workflow got prompt Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Executing node 3, title: KSampler, class type: KSampler 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 5.28it/s] 10%|█ | 2/20 [00:00<00:03, 5.22it/s] 15%|█▌ | 3/20 [00:00<00:03, 5.22it/s] 20%|██ | 4/20 [00:00<00:03, 4.23it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.54it/s] 30%|███ | 6/20 [00:01<00:02, 4.74it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.88it/s] 40%|████ | 8/20 [00:01<00:02, 4.98it/s] 45%|████▌ | 9/20 [00:01<00:02, 5.05it/s] 50%|█████ | 10/20 [00:02<00:01, 5.07it/s] 55%|█████▌ | 11/20 [00:02<00:01, 5.12it/s] 60%|██████ | 12/20 [00:02<00:01, 5.15it/s] 65%|██████▌ | 13/20 [00:02<00:01, 5.18it/s] 70%|███████ | 14/20 [00:02<00:01, 5.21it/s] 75%|███████▌ | 15/20 [00:02<00:00, 5.22it/s] 80%|████████ | 16/20 [00:03<00:00, 5.23it/s] 85%|████████▌ | 17/20 [00:03<00:00, 5.24it/s] 90%|█████████ | 18/20 [00:03<00:00, 5.24it/s] 95%|█████████▌| 19/20 [00:03<00:00, 5.27it/s] 100%|██████████| 20/20 [00:03<00:00, 5.30it/s] 100%|██████████| 20/20 [00:03<00:00, 5.08it/s] Executing node 8, title: VAE Decode, class type: VAEDecode Executing node 9, title: Save Image, class type: SaveImage Prompt executed in 4.35 seconds outputs: {'9': {'images': [{'filename': 'R8__00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== R8__00001_.png
Version Details
- Version ID
91e59d80a4311266e3a3b0efb9d66b3e9eff964697e8ef3f49e4d5b7b821450f
- Version Created
- June 8, 2024