diaphinus/bodegakitty 🖼️🔢📝❓✓ → 🖼️

▶️ 1.5K runs 📅 Sep 2023 ⚙️ Cog 0.8.2

About

Trained on images of a real cat

Example Output

Prompt:

"human sized anthropomorphic orange cat wearing a hoody behind the counter of a Brooklyn Bodega, photographed by Annie Leibovitz, smokey, haunting atmosphere, dimly lit"

Output

Performance Metrics

52.17s Prediction Time

52.09s Total Time

All Input Parameters

{
  "image": "https://replicate.delivery/pbxt/JXrOiwqFeF8Pd9BqCSQL2AnPUqwbpSWElJlUfF0GNOwg6Asy/marcaaron_human_sized_orange_cat_behind_the_counter_of_a_Bodega_0797b090-56f6-46ed-9849-7ae770ccd1cd.png",
  "width": 928,
  "height": 1232,
  "prompt": "human sized anthropomorphic orange cat wearing a hoody behind the counter of a Brooklyn Bodega, photographed by Annie Leibovitz, smokey, haunting atmosphere, dimly lit",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, noisy, low-poly, blurry, painting, photographic, scribbles drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly \n",
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}

Input Parameters

mask Type: string: Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
seed Type: integer: Random seed. Leave blank to randomize the seed
image Type: string: Input image for img2img or inpaint mode
width Type: integerDefault: 1024: Width of output image
height Type: integerDefault: 1024: Height of output image
prompt Type: stringDefault: An astronaut riding a rainbow unicorn: Input prompt
refine Default: no_refiner: Which refine style to use
scheduler Default: K_EULER: scheduler
lora_scale Type: numberDefault: 0.6Range: 0 - 1: LoRA additive scale. Only applicable on trained models.
num_outputs Type: integerDefault: 1Range: 1 - 4: Number of images to output.
refine_steps Type: integer: For base_image_refiner, the number of steps to refine, defaults to num_inference_steps
guidance_scale Type: numberDefault: 7.5Range: 1 - 50: Scale for classifier-free guidance
apply_watermark Type: booleanDefault: true: 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 Type: numberDefault: 0.8Range: 0 - 1: For expert_ensemble_refiner, the fraction of noise to use
negative_prompt Type: stringDefault:: Input Negative Prompt
prompt_strength Type: numberDefault: 0.8Range: 0 - 1: Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
replicate_weights Type: string: Replicate LoRA weights to use. Leave blank to use the default weights.
num_inference_steps Type: integerDefault: 50Range: 1 - 500: Number of denoising steps
disable_safety_checker Type: booleanDefault: false: 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

Type: array • Items Type: string • Items Format: uri

Example Execution Logs

Using seed: 3645
Prompt: human sized anthropomorphic orange cat wearing a hoody behind the counter of a Brooklyn Bodega, photographed by Annie Leibovitz, smokey, haunting atmosphere, dimly lit
img2img mode
  0%|          | 0/40 [00:00<?, ?it/s]
  2%|▎         | 1/40 [00:01<00:44,  1.14s/it]
  5%|▌         | 2/40 [00:02<00:43,  1.13s/it]
  8%|▊         | 3/40 [00:03<00:41,  1.13s/it]
 10%|█         | 4/40 [00:04<00:40,  1.13s/it]
 12%|█▎        | 5/40 [00:05<00:39,  1.13s/it]
 15%|█▌        | 6/40 [00:06<00:38,  1.13s/it]
 18%|█▊        | 7/40 [00:07<00:37,  1.13s/it]
 20%|██        | 8/40 [00:09<00:36,  1.13s/it]
 22%|██▎       | 9/40 [00:10<00:35,  1.13s/it]
 25%|██▌       | 10/40 [00:11<00:33,  1.13s/it]
 28%|██▊       | 11/40 [00:12<00:32,  1.13s/it]
 30%|███       | 12/40 [00:13<00:31,  1.13s/it]
 32%|███▎      | 13/40 [00:14<00:30,  1.13s/it]
 35%|███▌      | 14/40 [00:15<00:29,  1.13s/it]
 38%|███▊      | 15/40 [00:16<00:28,  1.13s/it]
 40%|████      | 16/40 [00:18<00:27,  1.13s/it]
 42%|████▎     | 17/40 [00:19<00:26,  1.13s/it]
 45%|████▌     | 18/40 [00:20<00:25,  1.14s/it]
 48%|████▊     | 19/40 [00:21<00:23,  1.14s/it]
 50%|█████     | 20/40 [00:22<00:22,  1.14s/it]
 52%|█████▎    | 21/40 [00:23<00:21,  1.14s/it]
 55%|█████▌    | 22/40 [00:24<00:20,  1.14s/it]
 57%|█████▊    | 23/40 [00:26<00:19,  1.14s/it]
 60%|██████    | 24/40 [00:27<00:18,  1.14s/it]
 62%|██████▎   | 25/40 [00:28<00:17,  1.14s/it]
 65%|██████▌   | 26/40 [00:29<00:15,  1.14s/it]
 68%|██████▊   | 27/40 [00:30<00:14,  1.14s/it]
 70%|███████   | 28/40 [00:31<00:13,  1.14s/it]
 72%|███████▎  | 29/40 [00:32<00:12,  1.14s/it]
 75%|███████▌  | 30/40 [00:34<00:11,  1.14s/it]
 78%|███████▊  | 31/40 [00:35<00:10,  1.14s/it]
 80%|████████  | 32/40 [00:36<00:09,  1.14s/it]
 82%|████████▎ | 33/40 [00:37<00:07,  1.14s/it]
 85%|████████▌ | 34/40 [00:38<00:06,  1.14s/it]
 88%|████████▊ | 35/40 [00:39<00:05,  1.14s/it]
 90%|█████████ | 36/40 [00:40<00:04,  1.14s/it]
 92%|█████████▎| 37/40 [00:42<00:03,  1.14s/it]
 95%|█████████▌| 38/40 [00:43<00:02,  1.14s/it]
 98%|█████████▊| 39/40 [00:44<00:01,  1.14s/it]
100%|██████████| 40/40 [00:45<00:00,  1.14s/it]
100%|██████████| 40/40 [00:45<00:00,  1.14s/it]

Version Details

Version ID: 8d8f11f6b7d50d536fe284a5c81b0ba0fd64aafec0031accb2ab5ca5ec9aef19
Version Created: September 17, 2023

Run on Replicate →