anotherjesse/sdv2-preview 🔢❓📝 → 🖼️

▶️ 28.4K runs 📅 Nov 2022 ⚙️ Cog v0.4.4+dev 🔗 GitHub ⚖️ License
stable-diffusion-2 text-to-image

About

Stable Diffusion 2.0 Preview

Example Output

Prompt:

"an concept art of the cat king, pale hair, one eye, intricate details, detailed face, detailed armour, artstation, epic pose, ambient light, by eiichiro oda "

Output

Example output

Performance Metrics

4.49s Prediction Time
4.52s Total Time
All Input Parameters 
{
  "width": "512",
  "height": 512,
  "prompt": "an concept art of the cat king, pale hair, one eye, intricate details, detailed face, detailed armour, artstation, epic pose, ambient light, by eiichiro oda ",
  "num_outputs": "1",
  "guidance_scale": 7.5,
  "num_inference_steps": 50
}
Input Parameters
seed Type: integer
Random seed. Leave blank to randomize the seed
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:
Input prompt
num_outputs Type: integerDefault: 1Range: 1 - 10
Number of images to output. If the NSFW filter is triggered, you may get fewer outputs than this.
guidance_scale Type: numberDefault: 7.5Range: 1 - 20
Scale for classifier-free guidance
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 
Using seed: 32970
Global seed set to 32970
Data shape for DDIM sampling is (1, 4, 64, 64), eta 0.0
Running DDIM Sampling with 50 timesteps
DDIM Sampler:   0%|          | 0/50 [00:00<?, ?it/s]
DDIM Sampler:   4%|▍         | 2/50 [00:00<00:03, 13.25it/s]
DDIM Sampler:   8%|▊         | 4/50 [00:00<00:03, 14.01it/s]
DDIM Sampler:  12%|█▏        | 6/50 [00:00<00:03, 14.41it/s]
DDIM Sampler:  16%|█▌        | 8/50 [00:00<00:03, 13.96it/s]
DDIM Sampler:  20%|██        | 10/50 [00:00<00:02, 14.16it/s]
DDIM Sampler:  24%|██▍       | 12/50 [00:00<00:02, 14.23it/s]
DDIM Sampler:  28%|██▊       | 14/50 [00:00<00:02, 14.38it/s]
DDIM Sampler:  32%|███▏      | 16/50 [00:01<00:02, 14.33it/s]
DDIM Sampler:  36%|███▌      | 18/50 [00:01<00:02, 14.19it/s]
DDIM Sampler:  40%|████      | 20/50 [00:01<00:02, 14.13it/s]
DDIM Sampler:  44%|████▍     | 22/50 [00:01<00:01, 14.23it/s]
DDIM Sampler:  48%|████▊     | 24/50 [00:01<00:01, 14.33it/s]
DDIM Sampler:  52%|█████▏    | 26/50 [00:01<00:01, 14.39it/s]
DDIM Sampler:  56%|█████▌    | 28/50 [00:01<00:01, 14.27it/s]
DDIM Sampler:  60%|██████    | 30/50 [00:02<00:01, 14.35it/s]
DDIM Sampler:  64%|██████▍   | 32/50 [00:02<00:01, 14.44it/s]
DDIM Sampler:  68%|██████▊   | 34/50 [00:02<00:01, 14.39it/s]
DDIM Sampler:  72%|███████▏  | 36/50 [00:02<00:00, 14.56it/s]
DDIM Sampler:  76%|███████▌  | 38/50 [00:02<00:00, 14.69it/s]
DDIM Sampler:  80%|████████  | 40/50 [00:02<00:00, 14.41it/s]
DDIM Sampler:  84%|████████▍ | 42/50 [00:02<00:00, 14.49it/s]
DDIM Sampler:  88%|████████▊ | 44/50 [00:03<00:00, 14.51it/s]
DDIM Sampler:  92%|█████████▏| 46/50 [00:03<00:00, 14.59it/s]
DDIM Sampler:  96%|█████████▌| 48/50 [00:03<00:00, 14.53it/s]
DDIM Sampler: 100%|██████████| 50/50 [00:03<00:00, 14.48it/s]
DDIM Sampler: 100%|██████████| 50/50 [00:03<00:00, 14.36it/s]
Version Details
Version ID
9d608f854eed9805b26cdc3514a625d32f30f2c50075eb673f0c6541635c8c5e
Version Created
November 24, 2022
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