dmitru/sdxl-darky 🖼️🔢📝❓✓ → 🖼️
About
SDXL fine-tuned using my own sketches and photos in a dark, moody style
Example Output
Prompt:
"an abstract psychedelic collage of photos and sketches made in the style of TOK. An imagined magic animal with human face"
Output
Performance Metrics
18.97s
Prediction Time
32.61s
Total Time
All Input Parameters
{
"width": 1024,
"height": 1024,
"prompt": "an abstract psychedelic collage of photos and sketches made in the style of TOK. An imagined magic animal with human face",
"refine": "expert_ensemble_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.8,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.94,
"negative_prompt": "",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
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
- refine
- Which refine style to use
- scheduler
- scheduler
- lora_scale
- LoRA additive scale. Only applicable on trained models.
- num_outputs
- Number of images to output.
- refine_steps
- For base_image_refiner, the number of steps to refine, defaults to num_inference_steps
- guidance_scale
- Scale for classifier-free guidance
- apply_watermark
- Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.
- high_noise_frac
- For expert_ensemble_refiner, the fraction of noise to use
- negative_prompt
- Input Negative Prompt
- prompt_strength
- Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
- replicate_weights
- Replicate LoRA weights to use. Leave blank to use the default weights.
- num_inference_steps
- Number of denoising steps
- disable_safety_checker
- Disable safety checker for generated images. This feature is only available through the API. See https://replicate.com/docs/how-does-replicate-work#safety
Output Schema
Output
Example Execution Logs
Using seed: 4087 Ensuring enough disk space... Free disk space: 2069769101312 Downloading weights: https://replicate.delivery/pbxt/5eL80vr8miy4D69h1xYYCzy1YsDoiVMkw50B0VTjPSuJxGfRA/trained_model.tar b'Downloaded 186 MB bytes in 2.319s (80 MB/s)\nExtracted 186 MB in 0.056s (3.3 GB/s)\n' Downloaded weights in 2.7585837841033936 seconds Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: an abstract psychedelic collage of photos and sketches made in the style of <s0><s1>. An imagined magic animal with human face txt2img mode 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:00<00:12, 3.64it/s] 4%|▍ | 2/47 [00:00<00:12, 3.65it/s] 6%|▋ | 3/47 [00:00<00:12, 3.65it/s] 9%|▊ | 4/47 [00:01<00:11, 3.64it/s] 11%|█ | 5/47 [00:01<00:11, 3.65it/s] 13%|█▎ | 6/47 [00:01<00:11, 3.64it/s] 15%|█▍ | 7/47 [00:01<00:10, 3.64it/s] 17%|█▋ | 8/47 [00:02<00:10, 3.64it/s] 19%|█▉ | 9/47 [00:02<00:10, 3.64it/s] 21%|██▏ | 10/47 [00:02<00:10, 3.64it/s] 23%|██▎ | 11/47 [00:03<00:09, 3.64it/s] 26%|██▌ | 12/47 [00:03<00:09, 3.64it/s] 28%|██▊ | 13/47 [00:03<00:09, 3.64it/s] 30%|██▉ | 14/47 [00:03<00:09, 3.64it/s] 32%|███▏ | 15/47 [00:04<00:08, 3.63it/s] 34%|███▍ | 16/47 [00:04<00:08, 3.63it/s] 36%|███▌ | 17/47 [00:04<00:08, 3.63it/s] 38%|███▊ | 18/47 [00:04<00:07, 3.63it/s] 40%|████ | 19/47 [00:05<00:07, 3.63it/s] 43%|████▎ | 20/47 [00:05<00:07, 3.63it/s] 45%|████▍ | 21/47 [00:05<00:07, 3.63it/s] 47%|████▋ | 22/47 [00:06<00:06, 3.63it/s] 49%|████▉ | 23/47 [00:06<00:06, 3.63it/s] 51%|█████ | 24/47 [00:06<00:06, 3.63it/s] 53%|█████▎ | 25/47 [00:06<00:06, 3.63it/s] 55%|█████▌ | 26/47 [00:07<00:05, 3.62it/s] 57%|█████▋ | 27/47 [00:07<00:05, 3.62it/s] 60%|█████▉ | 28/47 [00:07<00:05, 3.62it/s] 62%|██████▏ | 29/47 [00:07<00:04, 3.62it/s] 64%|██████▍ | 30/47 [00:08<00:04, 3.62it/s] 66%|██████▌ | 31/47 [00:08<00:04, 3.62it/s] 68%|██████▊ | 32/47 [00:08<00:04, 3.62it/s] 70%|███████ | 33/47 [00:09<00:03, 3.62it/s] 72%|███████▏ | 34/47 [00:09<00:03, 3.62it/s] 74%|███████▍ | 35/47 [00:09<00:03, 3.62it/s] 77%|███████▋ | 36/47 [00:09<00:03, 3.62it/s] 79%|███████▊ | 37/47 [00:10<00:02, 3.62it/s] 81%|████████ | 38/47 [00:10<00:02, 3.62it/s] 83%|████████▎ | 39/47 [00:10<00:02, 3.62it/s] 85%|████████▌ | 40/47 [00:11<00:01, 3.62it/s] 87%|████████▋ | 41/47 [00:11<00:01, 3.62it/s] 89%|████████▉ | 42/47 [00:11<00:01, 3.62it/s] 91%|█████████▏| 43/47 [00:11<00:01, 3.62it/s] 94%|█████████▎| 44/47 [00:12<00:00, 3.62it/s] 96%|█████████▌| 45/47 [00:12<00:00, 3.62it/s] 98%|█████████▊| 46/47 [00:12<00:00, 3.62it/s] 100%|██████████| 47/47 [00:12<00:00, 3.62it/s] 100%|██████████| 47/47 [00:12<00:00, 3.63it/s] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:00, 4.23it/s] 67%|██████▋ | 2/3 [00:00<00:00, 4.20it/s] 100%|██████████| 3/3 [00:00<00:00, 4.19it/s] 100%|██████████| 3/3 [00:00<00:00, 4.19it/s]
Version Details
- Version ID
c330f29c7249e5bad6b07144c6a329d4a2ac925b6687392f3a2aa724cc1491ed- Version Created
- December 2, 2023