arthuryeti/dwiss-qwen-2 π’πββπΌοΈ β πΌοΈ
About

Example Output
Prompt:
"A cinematic close-up of an elderly manβs wrinkled hand wearing a DWISS wristwatch, gently touching the small of a womanβs back. The woman is dressed in an elegant evening gown with delicate fabric, her posture graceful and poised. Soft, warm lighting casts subtle shadows, highlighting the textures of the skin, the shimmer of the watch, and the folds of the dress. The background is softly blurred, evoking a timeless, intimate, and sophisticated atmosphere."
Output

Performance Metrics
54.89s
Prediction Time
92.45s
Total Time
All Input Parameters
{ "prompt": "A cinematic close-up of an elderly manβs wrinkled hand wearing a DWISS wristwatch, gently touching the small of a womanβs back. The woman is dressed in an elegant evening gown with delicate fabric, her posture graceful and poised. Soft, warm lighting casts subtle shadows, highlighting the textures of the skin, the shimmer of the watch, and the folds of the dress. The background is softly blurred, evoking a timeless, intimate, and sophisticated atmosphere.", "go_fast": false, "guidance": 4, "image_size": "optimize_for_quality", "lora_scale": 1, "aspect_ratio": "16:9", "output_format": "jpg", "enhance_prompt": false, "output_quality": 100, "negative_prompt": "", "num_inference_steps": 50 }
Input Parameters
- seed
- Set a seed for reproducibility. Random by default.
- width
- Custom width in pixels. Provide both width and height for custom dimensions (overrides aspect_ratio/image_size).
- height
- Custom height in pixels. Provide both width and height for custom dimensions (overrides aspect_ratio/image_size).
- prompt (required)
- The main prompt for image generation
- go_fast
- Use LCM-LoRA to accelerate image generation (trades quality for 8x speed)
- guidance
- Guidance scale for image generation. Defaults to 1 if go_fast, else 3.5.
- image_size
- Image size preset (quality = larger, speed = faster). Ignored if width and height are both provided.
- lora_scale
- Scale for LoRA weights (0 = base model, 1 = full LoRA)
- aspect_ratio
- Aspect ratio for the generated image. Ignored if width and height are both provided.
- output_format
- Format of the output images
- enhance_prompt
- Automatically enhance the prompt for better image generation
- output_quality
- Quality when saving images (0-100, higher is better, 100 = lossless)
- negative_prompt
- Things you do not want to see in your image
- replicate_weights
- Path to LoRA weights file. Leave blank to use base model.
- num_inference_steps
- Number of denoising steps. More steps = higher quality. Defaults to 4 if go_fast, else 28.
Output Schema
Output
Example Execution Logs
π Using quality preset for 16:9: 1664x928 Missing keys: [] LoRA loaded: dim=64, alpha=64, scale=1.0 Using random seed: 2073874652 Generating: A cinematic close-up of an elderly manβs wrinkled hand wearing a DWISS wristwatch, gently touching the small of a womanβs back. The woman is dressed in an elegant evening gown with delicate fabric, her posture graceful and poised. Soft, warm lighting casts subtle shadows, highlighting the textures of the skin, the shimmer of the watch, and the folds of the dress. The background is softly blurred, evoking a timeless, intimate, and sophisticated atmosphere. (1664x928, steps=50, seed=2073874652) 0%| | 0/50 [00:00<?, ?it/s] 2%|β | 1/50 [00:00<00:39, 1.23it/s] 4%|β | 2/50 [00:01<00:38, 1.24it/s] 6%|β | 3/50 [00:02<00:37, 1.24it/s] 8%|β | 4/50 [00:03<00:36, 1.25it/s] 10%|β | 5/50 [00:04<00:36, 1.25it/s] 12%|ββ | 6/50 [00:04<00:35, 1.25it/s] 14%|ββ | 7/50 [00:05<00:34, 1.25it/s] 16%|ββ | 8/50 [00:06<00:33, 1.25it/s] 18%|ββ | 9/50 [00:07<00:32, 1.25it/s] 20%|ββ | 10/50 [00:08<00:32, 1.25it/s] 22%|βββ | 11/50 [00:08<00:31, 1.25it/s] 24%|βββ | 12/50 [00:09<00:30, 1.25it/s] 26%|βββ | 13/50 [00:10<00:29, 1.25it/s] 28%|βββ | 14/50 [00:11<00:28, 1.25it/s] 30%|βββ | 15/50 [00:12<00:28, 1.25it/s] 32%|ββββ | 16/50 [00:12<00:27, 1.25it/s] 34%|ββββ | 17/50 [00:13<00:26, 1.25it/s] 36%|ββββ | 18/50 [00:14<00:25, 1.25it/s] 38%|ββββ | 19/50 [00:15<00:24, 1.25it/s] 40%|ββββ | 20/50 [00:16<00:24, 1.25it/s] 42%|βββββ | 21/50 [00:16<00:23, 1.25it/s] 44%|βββββ | 22/50 [00:17<00:22, 1.25it/s] 46%|βββββ | 23/50 [00:18<00:21, 1.25it/s] 48%|βββββ | 24/50 [00:19<00:20, 1.25it/s] 50%|βββββ | 25/50 [00:20<00:20, 1.25it/s] 52%|ββββββ | 26/50 [00:20<00:19, 1.25it/s] 54%|ββββββ | 27/50 [00:21<00:18, 1.25it/s] 56%|ββββββ | 28/50 [00:22<00:17, 1.25it/s] 58%|ββββββ | 29/50 [00:23<00:16, 1.25it/s] 60%|ββββββ | 30/50 [00:24<00:16, 1.25it/s] 62%|βββββββ | 31/50 [00:24<00:15, 1.25it/s] 64%|βββββββ | 32/50 [00:25<00:14, 1.25it/s] 66%|βββββββ | 33/50 [00:26<00:13, 1.25it/s] 68%|βββββββ | 34/50 [00:27<00:12, 1.25it/s] 70%|βββββββ | 35/50 [00:28<00:12, 1.25it/s] 72%|ββββββββ | 36/50 [00:28<00:11, 1.25it/s] 74%|ββββββββ | 37/50 [00:29<00:10, 1.25it/s] 76%|ββββββββ | 38/50 [00:30<00:09, 1.25it/s] 78%|ββββββββ | 39/50 [00:31<00:08, 1.25it/s] 80%|ββββββββ | 40/50 [00:32<00:08, 1.25it/s] 82%|βββββββββ | 41/50 [00:32<00:07, 1.25it/s] 84%|βββββββββ | 42/50 [00:33<00:06, 1.25it/s] 86%|βββββββββ | 43/50 [00:34<00:05, 1.25it/s] 88%|βββββββββ | 44/50 [00:35<00:04, 1.25it/s] 90%|βββββββββ | 45/50 [00:36<00:04, 1.25it/s] 92%|ββββββββββ| 46/50 [00:36<00:03, 1.25it/s] 94%|ββββββββββ| 47/50 [00:37<00:02, 1.25it/s] 96%|ββββββββββ| 48/50 [00:38<00:01, 1.25it/s] 98%|ββββββββββ| 49/50 [00:39<00:00, 1.25it/s] 100%|ββββββββββ| 50/50 [00:40<00:00, 1.25it/s] 100%|ββββββββββ| 50/50 [00:40<00:00, 1.25it/s] Generation took 40.30 seconds Total safe images: 1/1
Version Details
- Version ID
674ea58f6bb3b22ac1ef8d3a14f660c2ec711e467bc7c0f891dd955385653c14
- Version Created
- August 20, 2025