lucataco/thinkdiffusionxl 🔢📝❓✓ → 🖼️
About
ThinkDiffusionXL is a go-to model capable of amazing photorealism that's also versatile enough to generate high-quality images across a variety of styles and subjects without needing to be a prompting genius

Example Output
Prompt:
"cinematic film still dramatic side lighting, dramatic intense stare closeup portrait, dark black background, hdr, dramatic beautiful warrior woman with warrior face paintings and blood, viking braids, blue eyes, pelt, skull necklace, shallow depth of field, vignette, highly detailed, high budget Hollywood film, cinemascope, moody, epic, gorgeous"
Output

Performance Metrics
8.06s
Prediction Time
8.03s
Total Time
All Input Parameters
{ "seed": 403, "width": 1024, "height": 1024, "prompt": "cinematic film still dramatic side lighting, dramatic intense stare closeup portrait, dark black background, hdr, dramatic beautiful warrior woman with warrior face paintings and blood, viking braids, blue eyes, pelt, skull necklace, shallow depth of field, vignette, highly detailed, high budget Hollywood film, cinemascope, moody, epic, gorgeous", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "nsfw_checker": true, "guidance_scale": 6, "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh", "num_inference_steps": 30 }
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- width
- Width of output image
- height
- Height of output image
- prompt
- Input prompt
- scheduler
- scheduler
- num_outputs
- Number of images to output.
- nsfw_checker
- Select to filter for NSFW content
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Input Negative Prompt
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Using seed: 403 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:05, 4.96it/s] 10%|█ | 3/30 [00:00<00:04, 6.18it/s] 13%|█▎ | 4/30 [00:00<00:04, 5.70it/s] 17%|█▋ | 5/30 [00:00<00:04, 5.44it/s] 20%|██ | 6/30 [00:01<00:04, 5.25it/s] 23%|██▎ | 7/30 [00:01<00:04, 5.15it/s] 27%|██▋ | 8/30 [00:01<00:04, 5.08it/s] 30%|███ | 9/30 [00:01<00:04, 5.04it/s] 33%|███▎ | 10/30 [00:01<00:03, 5.01it/s] 37%|███▋ | 11/30 [00:02<00:03, 4.98it/s] 40%|████ | 12/30 [00:02<00:03, 4.96it/s] 43%|████▎ | 13/30 [00:02<00:03, 4.95it/s] 47%|████▋ | 14/30 [00:02<00:03, 4.95it/s] 50%|█████ | 15/30 [00:02<00:03, 4.94it/s] 53%|█████▎ | 16/30 [00:03<00:02, 4.93it/s] 57%|█████▋ | 17/30 [00:03<00:02, 4.93it/s] 60%|██████ | 18/30 [00:03<00:02, 4.92it/s] 63%|██████▎ | 19/30 [00:03<00:02, 4.92it/s] 67%|██████▋ | 20/30 [00:03<00:02, 4.92it/s] 70%|███████ | 21/30 [00:04<00:01, 4.92it/s] 73%|███████▎ | 22/30 [00:04<00:01, 4.91it/s] 77%|███████▋ | 23/30 [00:04<00:01, 4.91it/s] 80%|████████ | 24/30 [00:04<00:01, 4.92it/s] 83%|████████▎ | 25/30 [00:04<00:01, 4.92it/s] 87%|████████▋ | 26/30 [00:05<00:00, 4.92it/s] 90%|█████████ | 27/30 [00:05<00:00, 4.91it/s] 93%|█████████▎| 28/30 [00:05<00:00, 4.91it/s] 97%|█████████▋| 29/30 [00:05<00:00, 4.91it/s] 100%|██████████| 30/30 [00:05<00:00, 4.91it/s] 100%|██████████| 30/30 [00:05<00:00, 5.02it/s]
Version Details
- Version ID
c41c12756b561bc81047a9307c9143589d158ef084655dbb3073b4f08ff54f32
- Version Created
- November 6, 2023