fofr/sdxl-simpsons-characters 🖼️🔢📝❓✓ → 🖼️
About
SDXL fine-tuned on MJv6 Simpsons generated images

Example Output
Prompt:
"A TOK Simpsons character of Jean Luc Picard in starfleet uniform"
Output

Performance Metrics
11.12s
Prediction Time
14.71s
Total Time
All Input Parameters
{ "width": 1024, "height": 1024, "prompt": "A TOK Simpsons character of Jean Luc Picard in starfleet uniform", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "ugly, broken, distorted, artefacts, 3D, render, photography", "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: 18141 Ensuring enough disk space... Free disk space: 2029064146944 Downloading weights: https://replicate.delivery/pbxt/fNgClbeGdYulIURATUep5GC1z82eubbtyEBCribWU7BljZTIB/trained_model.tar 2023-12-22T16:26:43Z | INFO | [ Initiating ] dest=/src/weights-cache/61d61cadc695e415 minimum_chunk_size=150M url=https://replicate.delivery/pbxt/fNgClbeGdYulIURATUep5GC1z82eubbtyEBCribWU7BljZTIB/trained_model.tar 2023-12-22T16:26:44Z | INFO | [ Complete ] dest=/src/weights-cache/61d61cadc695e415 size="186 MB" total_elapsed=0.462s url=https://replicate.delivery/pbxt/fNgClbeGdYulIURATUep5GC1z82eubbtyEBCribWU7BljZTIB/trained_model.tar b'' Downloaded weights in 0.5937182903289795 seconds Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: A <s0><s1> Simpsons character of Jean Luc Picard in starfleet uniform txt2img mode 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.63it/s] 9%|▊ | 2/23 [00:00<00:05, 3.62it/s] 13%|█▎ | 3/23 [00:00<00:05, 3.61it/s] 17%|█▋ | 4/23 [00:01<00:05, 3.61it/s] 22%|██▏ | 5/23 [00:01<00:04, 3.61it/s] 26%|██▌ | 6/23 [00:01<00:04, 3.61it/s] 30%|███ | 7/23 [00:01<00:04, 3.61it/s] 35%|███▍ | 8/23 [00:02<00:04, 3.61it/s] 39%|███▉ | 9/23 [00:02<00:03, 3.61it/s] 43%|████▎ | 10/23 [00:02<00:03, 3.61it/s] 48%|████▊ | 11/23 [00:03<00:03, 3.60it/s] 52%|█████▏ | 12/23 [00:03<00:03, 3.61it/s] 57%|█████▋ | 13/23 [00:03<00:02, 3.60it/s] 61%|██████ | 14/23 [00:03<00:02, 3.60it/s] 65%|██████▌ | 15/23 [00:04<00:02, 3.60it/s] 70%|██████▉ | 16/23 [00:04<00:01, 3.61it/s] 74%|███████▍ | 17/23 [00:04<00:01, 3.60it/s] 78%|███████▊ | 18/23 [00:04<00:01, 3.60it/s] 83%|████████▎ | 19/23 [00:05<00:01, 3.60it/s] 87%|████████▋ | 20/23 [00:05<00:00, 3.60it/s] 91%|█████████▏| 21/23 [00:05<00:00, 3.59it/s] 96%|█████████▌| 22/23 [00:06<00:00, 3.56it/s] 100%|██████████| 23/23 [00:06<00:00, 3.57it/s] 100%|██████████| 23/23 [00:06<00:00, 3.60it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:01, 3.96it/s] 29%|██▊ | 2/7 [00:00<00:01, 4.08it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.13it/s] 57%|█████▋ | 4/7 [00:00<00:00, 4.14it/s] 71%|███████▏ | 5/7 [00:01<00:00, 4.15it/s] 86%|████████▌ | 6/7 [00:01<00:00, 4.16it/s] 100%|██████████| 7/7 [00:01<00:00, 4.16it/s] 100%|██████████| 7/7 [00:01<00:00, 4.14it/s]
Version Details
- Version ID
f4d36a72b43ea2fd511cab0afb32539955ee5b28b65c8e3fb7d8abd254be8e91
- Version Created
- December 22, 2023