dingman081130/jdmodel 🔢🖼️❓📝✓ → 🖼️

▶️ 421 runs 📅 Mar 2023 ⚙️ Cog 0.6.0

image-to-image text-to-image

Example Output

Prompt:

"a photo of a cjw person"

Performance Metrics

9.56s Prediction Time

147.36s Total Time

All Input Parameters

{
  "width": 512,
  "height": 512,
  "prompt": "a photo of a cjw person",
  "scheduler": "DDIM",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}

Input Parameters

seed Type: integer: Random seed. Leave blank to randomize the seed
image Type: string: A starting image from which to generate variations (aka 'img2img'). If this input is set, the `width` and `height` inputs are ignored and the output will have the same dimensions as the input image.
width Default: 512: Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height Default: 512: Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
prompt Type: stringDefault: a photo of a cjw person: Input prompt
scheduler Default: DDIM: Choose a scheduler
num_outputs Type: integerDefault: 1Range: 1 - 4: Number of images to output.
guidance_scale Type: numberDefault: 7.5Range: 1 - 20: Scale for classifier-free guidance
negative_prompt Type: string: Specify things to not see in the output
prompt_strength Type: numberDefault: 0.8: Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
num_inference_steps Type: integerDefault: 50Range: 1 - 500: Number of denoising steps
disable_safety_check Type: booleanDefault: false: Disable safety check. Use at your own risk!

Output Schema

Output

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

Example Execution Logs

Using seed: 41374
using txt2img
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Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.
Traceback (most recent call last):
File "/root/.pyenv/versions/3.10.9/lib/python3.10/site-packages/cog/server/worker.py", line 214, in _predict
result = self._predictor.predict(**payload)
File "/root/.pyenv/versions/3.10.9/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/src/predict.py", line 195, in predict
raise Exception(
Exception: NSFW content detected. Try running it again, or try a different prompt.

Version Details

Version ID: 1181165528dcf750f99accf86f320ec9d726957c2f84655876b3f41bf98661a8
Version Created: March 6, 2023

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