cjwbw/taiyi-stable-diffusion-1b-chinese-v0.1 π’βπ β πΌοΈ
About
Chinese Stable diffusion model
Example Output
Prompt:
"ι£ζ΅η΄δΈδΈεε°ΊοΌζ²Ήη»"
Output
Performance Metrics
50.31s
Prediction Time
518.27s
Total Time
All Input Parameters
{
"width": 512,
"height": 512,
"prompt": "ι£ζ΅η΄δΈδΈεε°ΊοΌζ²Ήη»",
"scheduler": "DPMSolverMultistep",
"num_outputs": 1,
"guidance_scale": 7.5,
"num_inference_steps": 50
}
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- width
- Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- height
- Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- prompt
- Input prompt
- scheduler
- Choose a scheduler.
- num_outputs
- Number of images to output
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- The prompt or prompts not to guide the image generation (what you do not want to see in the generation). Ignored when not using guidance.
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Using seed: 28705 0%| | 0/50 [00:00<?, ?it/s] 2%|β | 1/50 [00:03<02:36, 3.19s/it] 4%|β | 2/50 [00:03<01:16, 1.60s/it] 6%|β | 3/50 [00:04<00:51, 1.10s/it] 8%|β | 4/50 [00:04<00:39, 1.16it/s] 10%|β | 5/50 [00:05<00:33, 1.36it/s] 12%|ββ | 6/50 [00:05<00:28, 1.52it/s] 14%|ββ | 7/50 [00:06<00:26, 1.64it/s] 16%|ββ | 8/50 [00:06<00:24, 1.74it/s] 18%|ββ | 9/50 [00:07<00:22, 1.80it/s] 20%|ββ | 10/50 [00:07<00:21, 1.85it/s] 22%|βββ | 11/50 [00:08<00:20, 1.88it/s] 24%|βββ | 12/50 [00:08<00:19, 1.91it/s] 26%|βββ | 13/50 [00:09<00:19, 1.91it/s] 28%|βββ | 14/50 [00:09<00:18, 1.92it/s] 30%|βββ | 15/50 [00:10<00:18, 1.93it/s] 32%|ββββ | 16/50 [00:10<00:17, 1.93it/s] 34%|ββββ | 17/50 [00:11<00:17, 1.94it/s] 36%|ββββ | 18/50 [00:11<00:16, 1.94it/s] 38%|ββββ | 19/50 [00:12<00:15, 1.94it/s] 40%|ββββ | 20/50 [00:12<00:15, 1.94it/s] 42%|βββββ | 21/50 [00:13<00:14, 1.94it/s] 44%|βββββ | 22/50 [00:13<00:14, 1.94it/s] 46%|βββββ | 23/50 [00:14<00:13, 1.94it/s] 48%|βββββ | 24/50 [00:14<00:13, 1.94it/s] 50%|βββββ | 25/50 [00:15<00:12, 1.93it/s] 52%|ββββββ | 26/50 [00:15<00:12, 1.92it/s] 54%|ββββββ | 27/50 [00:16<00:11, 1.92it/s] 56%|ββββββ | 28/50 [00:17<00:11, 1.92it/s] 58%|ββββββ | 29/50 [00:17<00:10, 1.92it/s] 60%|ββββββ | 30/50 [00:18<00:10, 1.92it/s] 62%|βββββββ | 31/50 [00:18<00:09, 1.92it/s] 64%|βββββββ | 32/50 [00:19<00:09, 1.92it/s] 66%|βββββββ | 33/50 [00:19<00:08, 1.92it/s] 68%|βββββββ | 34/50 [00:20<00:08, 1.92it/s] 70%|βββββββ | 35/50 [00:20<00:07, 1.92it/s] 72%|ββββββββ | 36/50 [00:21<00:07, 1.91it/s] 74%|ββββββββ | 37/50 [00:21<00:06, 1.91it/s] 76%|ββββββββ | 38/50 [00:22<00:06, 1.91it/s] 78%|ββββββββ | 39/50 [00:22<00:05, 1.91it/s] 80%|ββββββββ | 40/50 [00:23<00:05, 1.90it/s] 82%|βββββββββ | 41/50 [00:23<00:04, 1.90it/s] 84%|βββββββββ | 42/50 [00:24<00:04, 1.90it/s] 86%|βββββββββ | 43/50 [00:24<00:03, 1.90it/s] 88%|βββββββββ | 44/50 [00:25<00:03, 1.90it/s] 90%|βββββββββ | 45/50 [00:25<00:02, 1.90it/s] 92%|ββββββββββ| 46/50 [00:26<00:02, 1.89it/s] 94%|ββββββββββ| 47/50 [00:26<00:01, 1.90it/s] 96%|ββββββββββ| 48/50 [00:27<00:01, 1.90it/s] 98%|ββββββββββ| 49/50 [00:28<00:00, 1.90it/s] 100%|ββββββββββ| 50/50 [00:28<00:00, 1.90it/s] 100%|ββββββββββ| 50/50 [00:28<00:00, 1.75it/s]
Version Details
- Version ID
36c580142e9fbbd52e5e678e30541c0da6f2021c9d2039a5c00be192a010e8c5- Version Created
- December 31, 2022