asiryan/babes-xl 🖼️🔢📝❓ → 🖼️
About
Babes XL Model (Text2Img, Img2Img and Inpainting)

Example Output
Prompt:
"score_9, score_8_up, score_7_up, score_6_up, very beautiful girl on the beach, zoom view, portrait"
Output

Performance Metrics
5.38s
Prediction Time
5.39s
Total Time
All Input Parameters
{ "width": 1024, "height": 1024, "prompt": "score_9, score_8_up, score_7_up, score_6_up, very beautiful girl on the beach, zoom view, portrait", "strength": 0.8, "scheduler": "K_EULER_ANCESTRAL", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 3.5, "negative_prompt": "score_6, score_5, score_4, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, jpeg artifacts, deformed, noisy image, poorly drawn face, ugly face, crossed eyes", "num_inference_steps": 40 }
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
- strength
- Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
- scheduler
- scheduler
- lora_scale
- LoRA additive scale. Only applicable on trained models.
- num_outputs
- Number of images to output.
- lora_weights
- Replicate LoRA weights to use. Leave blank to use the default weights.
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Negative Input prompt
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Using seed: 62045 Prompt: score_9, score_8_up, score_7_up, score_6_up, very beautiful girl on the beach, zoom view, portrait txt2img mode 0%| | 0/40 [00:00<?, ?it/s] 5%|▌ | 2/40 [00:00<00:03, 11.62it/s] 10%|█ | 4/40 [00:00<00:03, 9.93it/s] 15%|█▌ | 6/40 [00:00<00:03, 9.49it/s] 18%|█▊ | 7/40 [00:00<00:03, 9.36it/s] 20%|██ | 8/40 [00:00<00:03, 9.27it/s] 22%|██▎ | 9/40 [00:00<00:03, 9.20it/s] 25%|██▌ | 10/40 [00:01<00:03, 9.14it/s] 28%|██▊ | 11/40 [00:01<00:03, 9.10it/s] 30%|███ | 12/40 [00:01<00:03, 9.08it/s] 32%|███▎ | 13/40 [00:01<00:02, 9.06it/s] 35%|███▌ | 14/40 [00:01<00:02, 9.04it/s] 38%|███▊ | 15/40 [00:01<00:02, 9.03it/s] 40%|████ | 16/40 [00:01<00:02, 9.02it/s] 42%|████▎ | 17/40 [00:01<00:02, 9.02it/s] 45%|████▌ | 18/40 [00:01<00:02, 9.01it/s] 48%|████▊ | 19/40 [00:02<00:02, 9.01it/s] 50%|█████ | 20/40 [00:02<00:02, 9.01it/s] 52%|█████▎ | 21/40 [00:02<00:02, 9.01it/s] 55%|█████▌ | 22/40 [00:02<00:01, 9.01it/s] 57%|█████▊ | 23/40 [00:02<00:01, 9.01it/s] 60%|██████ | 24/40 [00:02<00:01, 9.01it/s] 62%|██████▎ | 25/40 [00:02<00:01, 9.01it/s] 65%|██████▌ | 26/40 [00:02<00:01, 9.01it/s] 68%|██████▊ | 27/40 [00:02<00:01, 9.00it/s] 70%|███████ | 28/40 [00:03<00:01, 9.00it/s] 72%|███████▎ | 29/40 [00:03<00:01, 9.00it/s] 75%|███████▌ | 30/40 [00:03<00:01, 9.00it/s] 78%|███████▊ | 31/40 [00:03<00:00, 9.00it/s] 80%|████████ | 32/40 [00:03<00:00, 9.00it/s] 82%|████████▎ | 33/40 [00:03<00:00, 9.00it/s] 85%|████████▌ | 34/40 [00:03<00:00, 9.00it/s] 88%|████████▊ | 35/40 [00:03<00:00, 9.00it/s] 90%|█████████ | 36/40 [00:03<00:00, 9.00it/s] 92%|█████████▎| 37/40 [00:04<00:00, 9.00it/s] 95%|█████████▌| 38/40 [00:04<00:00, 9.00it/s] 98%|█████████▊| 39/40 [00:04<00:00, 9.00it/s] 100%|██████████| 40/40 [00:04<00:00, 9.00it/s] 100%|██████████| 40/40 [00:04<00:00, 9.11it/s]
Version Details
- Version ID
a07fcbe80652ccf989e8198654740d7d562de85f573196dd624a8a80285da27d
- Version Created
- November 19, 2024