cjwbw/prompt-free-diffusion 🔢🖼️❓ → 🖼️
About
Prompt-free Diffusion
Example Output
Output
Performance Metrics
85.66s
Prediction Time
627.07s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/IvpLPCeH4QTQomgDkJy4NHla7zk2lSz4Tdv6f9x6vywCsMTs/astronautridinghouse-input.jpg",
"control": "https://replicate.delivery/pbxt/IvpLP71kyA7Zz7BiLnjoskVpbCHnaflLHVMa6DNQWwvacF9u/astronautridinghouse-canny.png",
"out_width": 768,
"out_height": 512,
"control_net": "canny",
"tag_diffuser": "Deliberate-v2.0",
"guidance_scale": 2,
"context_encoder": "SeeCoder",
"preprocess_type": "canny",
"num_inference_steps": 50
}
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- image (required)
- Input image
- control (required)
- Control input
- out_width
- Width of output image. Reduce if hits the memory limit
- out_height
- Height of output image. Reduce if hits the memory limit
- control_net
- Choose ControlNet
- tag_diffuser
- Choose a diffusion model
- guidance_scale
- Scale for classifier-free guidance
- context_encoder
- Choose a context encoder
- preprocess_type
- Choose a Preprocess Type
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Using seed: 12119 ####################### # Running in eps mode # ####################### making attention of type 'vanilla' with 512 in_channels Working with z of shape (1, 4, 32, 32) = 4096 dimensions. making attention of type 'vanilla' with 512 in_channels Load model from [pretrained/pfd/vae/sd-v2-0-base-autokl.pth] strict [True]. Load autoencoderkl with total 83653863 parameters,79145.299 parameter sum. Load swin with total 195201204 parameters,44522.425 parameter sum. Load seecoder_decoder with total 27783168 parameters,13929.608 parameter sum. Load seecoder_query_transformer with total 71130624 parameters,21163.731 parameter sum. Load seecoder with total 294114996 parameters,79615.763 parameter sum. Load openai_unet_2d_next with total 859520964 parameters,100102.951 parameter sum. Load controlnet with total 361279120 parameters,41433.391 parameter sum. Load pfd_with_control with total 1598568943 parameters,300297.405 parameter sum. Load context encoder from [pretrained/pfd/seecoder/seecoder-v1-0.safetensors] strict [True]. Load diffuser from [pretrained/pfd/diffuser/Deliberate-v2-0.safetensors] strict [True]. Load controlnet from [pretrained/controlnet/control_sd15_canny_slimmed.safetensors] strict [True]. ################### # Running in FP16 # ################### Data shape for DDIM sampling is [1, 4, 64, 96], eta 0.0 DDIM Sampler: 0%| | 0/50 [00:00<?, ?it/s] DDIM Sampler: 2%|▏ | 1/50 [00:00<00:33, 1.44it/s] DDIM Sampler: 4%|▍ | 2/50 [00:01<00:27, 1.73it/s] DDIM Sampler: 6%|▌ | 3/50 [00:01<00:25, 1.85it/s] DDIM Sampler: 8%|▊ | 4/50 [00:02<00:24, 1.92it/s] DDIM Sampler: 10%|█ | 5/50 [00:02<00:23, 1.95it/s] DDIM Sampler: 12%|█▏ | 6/50 [00:03<00:22, 1.97it/s] DDIM Sampler: 14%|█▍ | 7/50 [00:03<00:21, 1.98it/s] DDIM Sampler: 16%|█▌ | 8/50 [00:04<00:21, 1.99it/s] DDIM Sampler: 18%|█▊ | 9/50 [00:04<00:20, 2.00it/s] DDIM Sampler: 20%|██ | 10/50 [00:05<00:19, 2.00it/s] DDIM Sampler: 22%|██▏ | 11/50 [00:05<00:19, 2.00it/s] DDIM Sampler: 24%|██▍ | 12/50 [00:06<00:18, 2.01it/s] DDIM Sampler: 26%|██▌ | 13/50 [00:06<00:18, 2.01it/s] DDIM Sampler: 28%|██▊ | 14/50 [00:07<00:17, 2.01it/s] DDIM Sampler: 30%|███ | 15/50 [00:07<00:17, 2.01it/s] DDIM Sampler: 32%|███▏ | 16/50 [00:08<00:16, 2.01it/s] DDIM Sampler: 34%|███▍ | 17/50 [00:08<00:16, 2.00it/s] DDIM Sampler: 36%|███▌ | 18/50 [00:09<00:15, 2.00it/s] DDIM Sampler: 38%|███▊ | 19/50 [00:09<00:15, 2.01it/s] DDIM Sampler: 40%|████ | 20/50 [00:10<00:14, 2.01it/s] DDIM Sampler: 42%|████▏ | 21/50 [00:10<00:14, 2.01it/s] DDIM Sampler: 44%|████▍ | 22/50 [00:11<00:13, 2.01it/s] DDIM Sampler: 46%|████▌ | 23/50 [00:11<00:13, 2.01it/s] DDIM Sampler: 48%|████▊ | 24/50 [00:12<00:12, 2.01it/s] DDIM Sampler: 50%|█████ | 25/50 [00:12<00:12, 2.00it/s] DDIM Sampler: 52%|█████▏ | 26/50 [00:13<00:11, 2.00it/s] DDIM Sampler: 54%|█████▍ | 27/50 [00:13<00:11, 2.01it/s] DDIM Sampler: 56%|█████▌ | 28/50 [00:14<00:10, 2.00it/s] DDIM Sampler: 58%|█████▊ | 29/50 [00:14<00:10, 2.00it/s] DDIM Sampler: 60%|██████ | 30/50 [00:15<00:09, 2.00it/s] DDIM Sampler: 62%|██████▏ | 31/50 [00:15<00:09, 2.00it/s] DDIM Sampler: 64%|██████▍ | 32/50 [00:16<00:08, 2.00it/s] DDIM Sampler: 66%|██████▌ | 33/50 [00:16<00:08, 2.00it/s] DDIM Sampler: 68%|██████▊ | 34/50 [00:17<00:07, 2.00it/s] DDIM Sampler: 70%|███████ | 35/50 [00:17<00:07, 2.00it/s] DDIM Sampler: 72%|███████▏ | 36/50 [00:18<00:06, 2.01it/s] DDIM Sampler: 74%|███████▍ | 37/50 [00:18<00:06, 2.01it/s] DDIM Sampler: 76%|███████▌ | 38/50 [00:19<00:05, 2.01it/s] DDIM Sampler: 78%|███████▊ | 39/50 [00:19<00:05, 2.00it/s] DDIM Sampler: 80%|████████ | 40/50 [00:20<00:04, 2.00it/s] DDIM Sampler: 82%|████████▏ | 41/50 [00:20<00:04, 2.00it/s] DDIM Sampler: 84%|████████▍ | 42/50 [00:21<00:03, 2.00it/s] DDIM Sampler: 86%|████████▌ | 43/50 [00:21<00:03, 2.00it/s] DDIM Sampler: 88%|████████▊ | 44/50 [00:22<00:02, 2.00it/s] DDIM Sampler: 90%|█████████ | 45/50 [00:22<00:02, 2.00it/s] DDIM Sampler: 92%|█████████▏| 46/50 [00:23<00:01, 2.00it/s] DDIM Sampler: 94%|█████████▍| 47/50 [00:23<00:01, 2.00it/s] DDIM Sampler: 96%|█████████▌| 48/50 [00:24<00:01, 2.00it/s] DDIM Sampler: 98%|█████████▊| 49/50 [00:24<00:00, 2.00it/s] DDIM Sampler: 100%|██████████| 50/50 [00:25<00:00, 2.00it/s] DDIM Sampler: 100%|██████████| 50/50 [00:25<00:00, 1.99it/s]
Version Details
- Version ID
8ffe43fe7298a95554ea24047fb144b921ca1a85f661527b34b2c02b2573579f- Version Created
- June 2, 2023