fofr/sdxl-toy-story-people 🖼️🔢📝❓✓ → 🖼️
About
SDXL fine-tuned on the people in Toy Story (1995)
Example Output
Prompt:
"An animated TOK Elon Musk person, 90s animation"
Output
Performance Metrics
11.14s
Prediction Time
12.55s
Total Time
All Input Parameters
{
"width": 1024,
"height": 1024,
"prompt": "An animated TOK Elon Musk person, 90s animation",
"refine": "expert_ensemble_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": false,
"high_noise_frac": 0.9,
"negative_prompt": "broken, distorted, ugly, two people",
"prompt_strength": 0.8,
"num_inference_steps": 30
}
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: 25576 Ensuring enough disk space... Free disk space: 2068550201344 Downloading weights: https://replicate.delivery/pbxt/FoFPwBsrDfUBWq1rbROyhxqlncif4fghJN4I0AZgaFgzevSHB/trained_model.tar b'Downloaded 186 MB bytes in 0.239s (779 MB/s)\nExtracted 186 MB in 0.058s (3.2 GB/s)\n' Downloaded weights in 0.41710972785949707 seconds Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: An animated <s0><s1> Elon Musk person, 90s animation txt2img mode 0%| | 0/27 [00:00<?, ?it/s] 4%|▎ | 1/27 [00:00<00:07, 3.69it/s] 7%|▋ | 2/27 [00:00<00:06, 3.68it/s] 11%|█ | 3/27 [00:00<00:06, 3.67it/s] 15%|█▍ | 4/27 [00:01<00:06, 3.66it/s] 19%|█▊ | 5/27 [00:01<00:06, 3.66it/s] 22%|██▏ | 6/27 [00:01<00:05, 3.65it/s] 26%|██▌ | 7/27 [00:01<00:05, 3.65it/s] 30%|██▉ | 8/27 [00:02<00:05, 3.65it/s] 33%|███▎ | 9/27 [00:02<00:04, 3.65it/s] 37%|███▋ | 10/27 [00:02<00:04, 3.65it/s] 41%|████ | 11/27 [00:03<00:04, 3.65it/s] 44%|████▍ | 12/27 [00:03<00:04, 3.65it/s] 48%|████▊ | 13/27 [00:03<00:03, 3.65it/s] 52%|█████▏ | 14/27 [00:03<00:03, 3.65it/s] 56%|█████▌ | 15/27 [00:04<00:03, 3.64it/s] 59%|█████▉ | 16/27 [00:04<00:03, 3.64it/s] 63%|██████▎ | 17/27 [00:04<00:02, 3.64it/s] 67%|██████▋ | 18/27 [00:04<00:02, 3.64it/s] 70%|███████ | 19/27 [00:05<00:02, 3.64it/s] 74%|███████▍ | 20/27 [00:05<00:01, 3.64it/s] 78%|███████▊ | 21/27 [00:05<00:01, 3.64it/s] 81%|████████▏ | 22/27 [00:06<00:01, 3.64it/s] 85%|████████▌ | 23/27 [00:06<00:01, 3.64it/s] 89%|████████▉ | 24/27 [00:06<00:00, 3.64it/s] 93%|█████████▎| 25/27 [00:06<00:00, 3.64it/s] 96%|█████████▋| 26/27 [00:07<00:00, 3.64it/s] 100%|██████████| 27/27 [00:07<00:00, 3.64it/s] 100%|██████████| 27/27 [00:07<00:00, 3.65it/s] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:00, 4.02it/s] 67%|██████▋ | 2/3 [00:00<00:00, 4.14it/s] 100%|██████████| 3/3 [00:00<00:00, 4.18it/s] 100%|██████████| 3/3 [00:00<00:00, 4.16it/s]
Version Details
- Version ID
e5603fd85f4cb9bffb1e49a1a1add5f3fcf3f2d5383bc84fd3ff7cc4fe5beb10- Version Created
- November 3, 2023