lucataco/pixart-xl-2 🔢❓📝 → 🖼️

▶️ 78.9K runs 📅 Dec 2023 ⚙️ Cog 0.8.6 🔗 GitHub 📄 Paper ⚖️ License
text-to-image

About

PixArt-Alpha 1024px is a transformer-based text-to-image diffusion system trained on text embeddings from T5

Example Output

Prompt:

"an astronaut sitting in a diner, eating fries, cinematic, analog film"

Output

Example output

Performance Metrics

6.04s Prediction Time
142.63s Total Time
All Input Parameters 
{
  "style": "None",
  "width": 1024,
  "height": 1024,
  "prompt": "an astronaut sitting in a diner, eating fries, cinematic, analog film",
  "scheduler": "DPMSolverMultistep",
  "num_outputs": 1,
  "guidance_scale": 4.5,
  "num_inference_steps": 14
}
Input Parameters
seed Type: integer
Random seed. Leave blank to randomize the seed
style Default: None
Image style
width Type: integerDefault: 1024
Width of output image
height Type: integerDefault: 1024
Height of output image
prompt Type: stringDefault: A small cactus with a happy face in the Sahara desert
Input prompt
scheduler Default: DPMSolverMultistep
scheduler
num_outputs Type: integerDefault: 1Range: 1 - 4
Number of images to output.
guidance_scale Type: numberDefault: 4.5Range: 1 - 50
Scale for classifier-free guidance
negative_prompt Type: string
Negative prompt
num_inference_steps Type: integerDefault: 14Range: 1 - 100
Number of denoising steps
Output Schema

Output

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

Example Execution Logs 
Using seed: 255397398
Prompt: an astronaut sitting in a diner, eating fries, cinematic, analog film  Negative Prompt: None
  0%|          | 0/14 [00:00<?, ?it/s]
  7%|▋         | 1/14 [00:00<00:04,  2.86it/s]
 14%|█▍        | 2/14 [00:00<00:03,  3.16it/s]
 21%|██▏       | 3/14 [00:00<00:03,  3.26it/s]
 29%|██▊       | 4/14 [00:01<00:03,  3.29it/s]
 36%|███▌      | 5/14 [00:01<00:02,  3.32it/s]
 43%|████▎     | 6/14 [00:01<00:02,  3.34it/s]
 50%|█████     | 7/14 [00:02<00:02,  3.35it/s]
 57%|█████▋    | 8/14 [00:02<00:01,  3.36it/s]
 64%|██████▍   | 9/14 [00:02<00:01,  3.36it/s]
 71%|███████▏  | 10/14 [00:03<00:01,  3.36it/s]
 79%|███████▊  | 11/14 [00:03<00:00,  3.36it/s]
 86%|████████▌ | 12/14 [00:03<00:00,  3.36it/s]
 93%|█████████▎| 13/14 [00:03<00:00,  3.36it/s]
100%|██████████| 14/14 [00:04<00:00,  3.36it/s]
100%|██████████| 14/14 [00:04<00:00,  3.33it/s]
Version Details
Version ID
816c99673841b9448bc2539834c16d40e0315bbf92fef0317b57a226727409bb
Version Created
December 4, 2023
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