afiaka87/pyglide 🔢📝❓✓ → 🖼️
About
The predecessor to DALLE-2, GLIDE (filtered) with faster PRK/PLMS sampling.
Example Output
Prompt:
"detailed oil painting of a pembroke welsh corgi"
Output
[object Object]
Performance Metrics
36.10s
Prediction Time
36.32s
Total Time
All Input Parameters
{
"seed": 234,
"prompt": "detailed oil painting of a pembroke welsh corgi",
"side_x": "64",
"side_y": "64",
"batch_size": "3",
"upsample_temp": "1.0",
"guidance_scale": 4,
"upsample_stage": true,
"timestep_respacing": "35",
"sr_timestep_respacing": "27"
}
Input Parameters
- seed
- Seed for reproducibility
- prompt (required)
- Text prompt to use. Keep it simple/literal and avoid using poetic language (unlike CLIP).
- side_x
- Must be multiple of 8. Going above 64 is not recommended. Actual image will be 4x larger.
- side_y
- Must be multiple of 8. Going above 64 is not recommended. Actual image will be 4x larger.
- batch_size
- Batch size. Number of generations to predict
- upsample_temp
- Upsample temperature. Consider lowering to ~0.997 for blurry images with fewer artifacts.
- guidance_scale
- Classifier-free guidance scale. Higher values move further away from unconditional outputs. Lower values move closer to unconditional outputs. Negative values guide towards semantically opposite classes. 4-16 is a reasonable range.
- upsample_stage
- If true, uses both the base and upsample models. If false, only the (finetuned) base model is used. This is useful for testing the upsampler, which is not finetuned.
- timestep_respacing
- Number of timesteps to use for base model PLMS sampling. Usually don't need more than 50.
- sr_timestep_respacing
- Number of timesteps to use for upsample model PLMS sampling. Usually don't need more than 20.
Output Schema
Output
Example Execution Logs
0%| | 0/33 [00:00<?, ?it/s] 3%|▎ | 1/33 [00:00<00:24, 1.31it/s] 6%|▌ | 2/33 [00:01<00:22, 1.38it/s] 9%|▉ | 3/33 [00:02<00:21, 1.40it/s] 12%|█▏ | 4/33 [00:02<00:14, 1.99it/s] 15%|█▌ | 5/33 [00:02<00:10, 2.59it/s] 18%|█▊ | 6/33 [00:02<00:08, 3.18it/s] 21%|██ | 7/33 [00:02<00:07, 3.71it/s] 24%|██▍ | 8/33 [00:03<00:05, 4.17it/s] 27%|██▋ | 9/33 [00:03<00:05, 4.54it/s] 30%|███ | 10/33 [00:03<00:04, 4.82it/s] 33%|███▎ | 11/33 [00:03<00:04, 5.06it/s] 36%|███▋ | 12/33 [00:03<00:04, 5.23it/s] 39%|███▉ | 13/33 [00:03<00:03, 5.36it/s] 42%|████▏ | 14/33 [00:04<00:03, 5.44it/s] 45%|████▌ | 15/33 [00:04<00:03, 5.50it/s] 48%|████▊ | 16/33 [00:04<00:03, 5.54it/s] 52%|█████▏ | 17/33 [00:04<00:02, 5.56it/s] 55%|█████▍ | 18/33 [00:04<00:02, 5.59it/s] 58%|█████▊ | 19/33 [00:04<00:02, 5.60it/s] 61%|██████ | 20/33 [00:05<00:02, 5.61it/s] 64%|██████▎ | 21/33 [00:05<00:02, 5.63it/s] 67%|██████▋ | 22/33 [00:05<00:01, 5.63it/s] 70%|██████▉ | 23/33 [00:05<00:01, 5.63it/s] 73%|███████▎ | 24/33 [00:05<00:01, 5.62it/s] 76%|███████▌ | 25/33 [00:06<00:01, 5.64it/s] 79%|███████▉ | 26/33 [00:06<00:01, 5.63it/s] 82%|████████▏ | 27/33 [00:06<00:01, 5.63it/s] 85%|████████▍ | 28/33 [00:06<00:00, 5.63it/s] 88%|████████▊ | 29/33 [00:06<00:00, 5.63it/s] 91%|█████████ | 30/33 [00:06<00:00, 5.63it/s] 94%|█████████▍| 31/33 [00:07<00:00, 5.62it/s] 97%|█████████▋| 32/33 [00:07<00:00, 5.63it/s] 100%|██████████| 33/33 [00:07<00:00, 5.62it/s] 100%|██████████| 33/33 [00:07<00:00, 4.41it/s] 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:45, 1.91s/it] 8%|▊ | 2/25 [00:03<00:43, 1.91s/it] 12%|█▏ | 3/25 [00:05<00:42, 1.91s/it] 16%|█▌ | 4/25 [00:06<00:28, 1.35s/it] 20%|██ | 5/25 [00:06<00:20, 1.03s/it] 24%|██▍ | 6/25 [00:07<00:16, 1.18it/s] 28%|██▊ | 7/25 [00:07<00:13, 1.38it/s] 32%|███▏ | 8/25 [00:08<00:10, 1.55it/s] 36%|███▌ | 9/25 [00:08<00:09, 1.69it/s] 40%|████ | 10/25 [00:09<00:08, 1.79it/s] 44%|████▍ | 11/25 [00:09<00:07, 1.87it/s] 48%|████▊ | 12/25 [00:10<00:06, 1.93it/s] 52%|█████▏ | 13/25 [00:10<00:06, 1.98it/s] 56%|█████▌ | 14/25 [00:11<00:05, 2.01it/s] 60%|██████ | 15/25 [00:11<00:04, 2.03it/s] 64%|██████▍ | 16/25 [00:11<00:04, 2.05it/s] 68%|██████▊ | 17/25 [00:12<00:03, 2.06it/s] 72%|███████▏ | 18/25 [00:12<00:03, 2.06it/s] 76%|███████▌ | 19/25 [00:13<00:02, 2.06it/s] 80%|████████ | 20/25 [00:13<00:02, 2.07it/s] 84%|████████▍ | 21/25 [00:14<00:01, 2.07it/s] 88%|████████▊ | 22/25 [00:14<00:01, 2.07it/s] 92%|█████████▏| 23/25 [00:15<00:00, 2.07it/s] 96%|█████████▌| 24/25 [00:15<00:00, 2.07it/s] 100%|██████████| 25/25 [00:16<00:00, 2.07it/s] 100%|██████████| 25/25 [00:16<00:00, 1.53it/s]
Version Details
- Version ID
d0b38636cb245fbec3e5a7a26356fa55bc79ea1032f12e5ea821173f171be0b5- Version Created
- October 14, 2022