sinazar/campfire-fox3 🖼️🔢📝❓✓ → 🖼️
About
Example Output
Prompt:
"a photo of TOK smiling and being happy on a sunny day, fox, animal crossing"
Output



Performance Metrics
82.51s
Prediction Time
86.31s
Total Time
All Input Parameters
{
"width": 1024,
"height": 1024,
"prompt": "a photo of TOK smiling and being happy on a sunny day, fox, animal crossing",
"refine": "expert_ensemble_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 4,
"guidance_scale": 7.5,
"apply_watermark": false,
"high_noise_frac": 0.8,
"negative_prompt": "realistic, multiple TOK",
"prompt_strength": 0.8,
"num_inference_steps": 75
}
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: 3658 Ensuring enough disk space... Free disk space: 1655158349824 Downloading weights: https://replicate.delivery/pbxt/PN1ekmiwR2zmc6TtUAdMRWf0lAUOdG6WEHr8pSHQStU0rvrSA/trained_model.tar 2024-04-18T17:42:46Z | INFO | [ Initiating ] dest=/src/weights-cache/21497e5a2d6e116a minimum_chunk_size=150M url=https://replicate.delivery/pbxt/PN1ekmiwR2zmc6TtUAdMRWf0lAUOdG6WEHr8pSHQStU0rvrSA/trained_model.tar 2024-04-18T17:42:47Z | INFO | [ Complete ] dest=/src/weights-cache/21497e5a2d6e116a size="186 MB" total_elapsed=1.068s url=https://replicate.delivery/pbxt/PN1ekmiwR2zmc6TtUAdMRWf0lAUOdG6WEHr8pSHQStU0rvrSA/trained_model.tar b'' Downloaded weights in 1.1574571132659912 seconds Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: a photo of <s0><s1> smiling and being happy on a sunny day, fox, animal crossing txt2img mode 0%| | 0/59 [00:00<?, ?it/s] 2%|▏ | 1/59 [00:01<01:00, 1.04s/it] 3%|▎ | 2/59 [00:02<00:59, 1.04s/it] 5%|▌ | 3/59 [00:03<00:58, 1.04s/it] 7%|▋ | 4/59 [00:04<00:57, 1.04s/it] 8%|▊ | 5/59 [00:05<00:56, 1.04s/it] 10%|█ | 6/59 [00:06<00:55, 1.04s/it] 12%|█▏ | 7/59 [00:07<00:54, 1.04s/it] 14%|█▎ | 8/59 [00:08<00:53, 1.04s/it] 15%|█▌ | 9/59 [00:09<00:52, 1.04s/it] 17%|█▋ | 10/59 [00:10<00:51, 1.04s/it] 19%|█▊ | 11/59 [00:11<00:50, 1.05s/it] 20%|██ | 12/59 [00:12<00:49, 1.05s/it] 22%|██▏ | 13/59 [00:13<00:47, 1.04s/it] 24%|██▎ | 14/59 [00:14<00:46, 1.04s/it] 25%|██▌ | 15/59 [00:15<00:45, 1.04s/it] 27%|██▋ | 16/59 [00:16<00:44, 1.04s/it] 29%|██▉ | 17/59 [00:17<00:43, 1.04s/it] 31%|███ | 18/59 [00:18<00:42, 1.04s/it] 32%|███▏ | 19/59 [00:19<00:41, 1.04s/it] 34%|███▍ | 20/59 [00:20<00:40, 1.04s/it] 36%|███▌ | 21/59 [00:21<00:39, 1.04s/it] 37%|███▋ | 22/59 [00:22<00:38, 1.04s/it] 39%|███▉ | 23/59 [00:24<00:37, 1.04s/it] 41%|████ | 24/59 [00:25<00:36, 1.04s/it] 42%|████▏ | 25/59 [00:26<00:35, 1.04s/it] 44%|████▍ | 26/59 [00:27<00:34, 1.04s/it] 46%|████▌ | 27/59 [00:28<00:33, 1.05s/it] 47%|████▋ | 28/59 [00:29<00:32, 1.05s/it] 49%|████▉ | 29/59 [00:30<00:31, 1.05s/it] 51%|█████ | 30/59 [00:31<00:30, 1.05s/it] 53%|█████▎ | 31/59 [00:32<00:29, 1.05s/it] 54%|█████▍ | 32/59 [00:33<00:28, 1.05s/it] 56%|█████▌ | 33/59 [00:34<00:27, 1.05s/it] 58%|█████▊ | 34/59 [00:35<00:26, 1.05s/it] 59%|█████▉ | 35/59 [00:36<00:25, 1.05s/it] 61%|██████ | 36/59 [00:37<00:24, 1.05s/it] 63%|██████▎ | 37/59 [00:38<00:23, 1.05s/it] 64%|██████▍ | 38/59 [00:39<00:22, 1.05s/it] 66%|██████▌ | 39/59 [00:40<00:20, 1.05s/it] 68%|██████▊ | 40/59 [00:41<00:19, 1.05s/it] 69%|██████▉ | 41/59 [00:42<00:18, 1.05s/it] 71%|███████ | 42/59 [00:43<00:17, 1.05s/it] 73%|███████▎ | 43/59 [00:44<00:16, 1.05s/it] 75%|███████▍ | 44/59 [00:46<00:15, 1.05s/it] 76%|███████▋ | 45/59 [00:47<00:14, 1.05s/it] 78%|███████▊ | 46/59 [00:48<00:13, 1.05s/it] 80%|███████▉ | 47/59 [00:49<00:12, 1.05s/it] 81%|████████▏ | 48/59 [00:50<00:11, 1.05s/it] 83%|████████▎ | 49/59 [00:51<00:10, 1.05s/it] 85%|████████▍ | 50/59 [00:52<00:09, 1.05s/it] 86%|████████▋ | 51/59 [00:53<00:08, 1.05s/it] 88%|████████▊ | 52/59 [00:54<00:07, 1.05s/it] 90%|████████▉ | 53/59 [00:55<00:06, 1.05s/it] 92%|█████████▏| 54/59 [00:56<00:05, 1.05s/it] 93%|█████████▎| 55/59 [00:57<00:04, 1.05s/it] 95%|█████████▍| 56/59 [00:58<00:03, 1.05s/it] 97%|█████████▋| 57/59 [00:59<00:02, 1.05s/it] 98%|█████████▊| 58/59 [01:00<00:01, 1.05s/it] 100%|██████████| 59/59 [01:01<00:00, 1.05s/it] 100%|██████████| 59/59 [01:01<00:00, 1.05s/it] 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:13, 1.09it/s] 12%|█▎ | 2/16 [00:01<00:12, 1.09it/s] 19%|█▉ | 3/16 [00:02<00:11, 1.10it/s] 25%|██▌ | 4/16 [00:03<00:10, 1.10it/s] 31%|███▏ | 5/16 [00:04<00:09, 1.10it/s] 38%|███▊ | 6/16 [00:05<00:09, 1.10it/s] 44%|████▍ | 7/16 [00:06<00:08, 1.11it/s] 50%|█████ | 8/16 [00:07<00:07, 1.11it/s] 56%|█████▋ | 9/16 [00:08<00:06, 1.11it/s] 62%|██████▎ | 10/16 [00:09<00:05, 1.11it/s] 69%|██████▉ | 11/16 [00:09<00:04, 1.10it/s] 75%|███████▌ | 12/16 [00:10<00:03, 1.11it/s] 81%|████████▏ | 13/16 [00:11<00:02, 1.10it/s] 88%|████████▊ | 14/16 [00:12<00:01, 1.10it/s] 94%|█████████▍| 15/16 [00:13<00:00, 1.10it/s] 100%|██████████| 16/16 [00:14<00:00, 1.10it/s] 100%|██████████| 16/16 [00:14<00:00, 1.10it/s]
Version Details
- Version ID
f1d1aac56a3e70366e0a35fddd7fca5fb8722fd1510a5653ca1d90d6a31608c0- Version Created
- April 18, 2024