aisha-ai-official/dvine-v3.1 ❓🔢📝✓ → 🖼️
About

Example Output
Prompt:
"street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V"
Output

Performance Metrics
6.67s
Prediction Time
38.84s
Total Time
All Input Parameters
{ "vae": "default", "seed": -1, "model": "Dvine-v3.1", "steps": 30, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V", "cfg_scale": 7, "clip_skip": 2, "pag_scale": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "prepend_preprompt": true }
Input Parameters
- vae
- The VAE to use
- seed
- The seed used when generating, set to -1 for random seed
- model
- The model to use
- steps
- The steps when generating
- width
- The width of the image
- height
- The height of the image
- prompt
- The prompt, uses Compel weighting syntax
- cfg_scale
- CFG scale defines how much attention the model pays to the prompt when generating, set to 1 to disable
- clip_skip
- How many CLIP layers to skip, 1 is actually no skip, this is the behavior in A1111 so it's aligned to it
- pag_scale
- PAG scale is similar to CFG but it literally makes the result better, it's compatible with CFG too, set to 0 to disable
- scheduler
- The scheduler to use
- batch_size
- Number of images to generate (1-4), note if you set this to 4, some high resolution gens might fail because of not enough VRAM
- negative_prompt
- The negative prompt (For things you don't want), uses Compel weighting syntax
- guidance_rescale
- The amount to rescale CFG generated noise to avoid generating overexposed images, set to 0 or 1 to disable
- prepend_preprompt
- Prepend preprompt (Prompt: "masterpiece, amazing quality, best quality, ultra-detailed, 8K, " Negative prompt: "lowres, bad quality, worst quality,bad anatomy, sketch, jpeg artifacts, ugly, poorly drawn,blurry, transparent background, censored, (simple background:1.6), artist name, signature, watermark, ")
Output Schema
Output
Example Execution Logs
Using text to image mode. Using seed: 1564395552 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:06, 4.18it/s] 10%|█ | 3/30 [00:00<00:03, 6.96it/s] 13%|█▎ | 4/30 [00:00<00:03, 6.85it/s] 17%|█▋ | 5/30 [00:00<00:03, 6.79it/s] 20%|██ | 6/30 [00:00<00:03, 6.74it/s] 23%|██▎ | 7/30 [00:01<00:03, 6.70it/s] 27%|██▋ | 8/30 [00:01<00:03, 6.68it/s] 30%|███ | 9/30 [00:01<00:03, 6.65it/s] 33%|███▎ | 10/30 [00:01<00:03, 6.64it/s] 37%|███▋ | 11/30 [00:01<00:02, 6.63it/s] 40%|████ | 12/30 [00:01<00:02, 6.62it/s] 43%|████▎ | 13/30 [00:01<00:02, 6.62it/s] 47%|████▋ | 14/30 [00:02<00:02, 6.60it/s] 50%|█████ | 15/30 [00:02<00:02, 6.59it/s] 53%|█████▎ | 16/30 [00:02<00:02, 6.59it/s] 57%|█████▋ | 17/30 [00:02<00:01, 6.60it/s] 60%|██████ | 18/30 [00:02<00:01, 6.60it/s] 63%|██████▎ | 19/30 [00:02<00:01, 6.60it/s] 67%|██████▋ | 20/30 [00:03<00:01, 6.61it/s] 70%|███████ | 21/30 [00:03<00:01, 6.59it/s] 73%|███████▎ | 22/30 [00:03<00:01, 6.58it/s] 77%|███████▋ | 23/30 [00:03<00:01, 6.59it/s] 80%|████████ | 24/30 [00:03<00:00, 6.58it/s] 83%|████████▎ | 25/30 [00:03<00:00, 6.57it/s] 87%|████████▋ | 26/30 [00:03<00:00, 6.57it/s] 90%|█████████ | 27/30 [00:04<00:00, 6.57it/s] 93%|█████████▎| 28/30 [00:04<00:00, 6.58it/s] 97%|█████████▋| 29/30 [00:04<00:00, 6.57it/s] 100%|██████████| 30/30 [00:04<00:00, 6.56it/s] 100%|██████████| 30/30 [00:04<00:00, 6.59it/s]
Version Details
- Version ID
a1e4571923fa94010fd012c36bd790622a2ad8835ff26a690a2fe5fabc9520f3
- Version Created
- February 22, 2025