doriandarko/lcm-hiroshinagai 🖼️🔢📝❓✓ → 🖼️

▶️ 100 runs 📅 Nov 2023 ⚙️ Cog 0.8.6
image-inpainting image-to-image text-to-image

About

A smaller cuter, but lower quality version of my SDXL Hiroshi Nagai model

Example Output

Prompt:

"In the style of TOK, a car in the countryside"

Output

Example outputExample outputExample outputExample output

Performance Metrics

13.08s Prediction Time
15.33s Total Time
All Input Parameters 
{
  "seed": 1989,
  "width": 1024,
  "height": 1024,
  "prompt": "In the style of TOK, a car in the countryside",
  "scheduler": "LCM",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 2,
  "apply_watermark": true,
  "negative_prompt": "black and white, ugly, ",
  "prompt_strength": 0.8,
  "num_inference_steps": 6
}
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, cinematic, dramatic
Input prompt
scheduler Default: LCM
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.
guidance_scale Type: numberDefault: 2Range: 1 - 20
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.
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: 6Range: 1 - 20
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](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: 1989
skipping loading .. weights already loaded
Prompt: In the style of <s0><s1>, a car in the countryside
txt2img mode
The config attributes {'skip_prk_steps': True} were passed to LCMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.
  0%|          | 0/6 [00:00<?, ?it/s]
 17%|█▋        | 1/6 [00:00<00:04,  1.02it/s]
 33%|███▎      | 2/6 [00:01<00:03,  1.02it/s]
 50%|█████     | 3/6 [00:02<00:02,  1.02it/s]
 67%|██████▋   | 4/6 [00:03<00:01,  1.01it/s]
 83%|████████▎ | 5/6 [00:04<00:00,  1.01it/s]
100%|██████████| 6/6 [00:05<00:00,  1.01it/s]
100%|██████████| 6/6 [00:05<00:00,  1.01it/s]
Version Details
Version ID
b43c25e9643af233e1258c839b6c6726504cbc25a1843ff80d83d911b8c99faa
Version Created
November 15, 2023
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