cjwbw/stable-diffusion-v2 🔢❓📝🖼️ → 🖼️

▶️ 280.7K runs 📅 Nov 2022 ⚙️ Cog 0.5.0
image-to-image text-to-image

About

sd-v2 with diffusers, test version!

Example Output

Prompt:

"a photo of an astronaut riding a horse on mars"

Output

Example output

Performance Metrics

7.33s Prediction Time
7.37s Total Time
All Input Parameters 
{
  "width": 768,
  "height": 768,
  "prompt": "a photo of an astronaut riding a horse on mars",
  "scheduler": "K_EULER",
  "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
width Default: 768
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height Default: 768
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
prompt Type: stringDefault: a photo of an astronaut riding a horse on mars
Input prompt
scheduler Default: K_EULER
Choose a scheduler. Seems only DDIM and K_EULER and DPMSolverMultistep work for sd-v2 now.
init_image Type: string
Initial image to generate variations of. Will be resized to the specified width and height
num_outputs Type: integerDefault: 1Range: 1 - 3
Number of images to output. Currenly allowing 1-3, otherwise would OOM.
guidance_scale Type: numberDefault: 7.5Range: 1 - 20
Scale for classifier-free guidance
negative_prompt Type: string
The prompt NOT to guide the image generation. Ignored when not using guidance
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
Output Schema

Output

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

Example Execution Logs 
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Version Details
Version ID
e5e1fd333a08c8035974a01dd42f799f1cca4625aec374643d716d9ae40cf2e4
Version Created
December 2, 2022
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