cloneofsimo/analog_diffusion_lora 🔢🖼️❓📝 → 🖼️
Performance
11.3sTypical run time
5.1KTotal runs
About
Example Output
Prompt:
"analog style closeup portrait of <1> cowboy hat"
Output
Performance Metrics
11.34s
Prediction Time
11.43s
Total Time
All Input Parameters
{
"width": 512,
"height": 512,
"prompt": "analog style closeup portrait of <1> cowboy hat",
"lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
"scheduler": "DPMSolverMultistep",
"lora_scales": "0.6",
"num_outputs": 1,
"adapter_type": "sketch",
"guidance_scale": "6.5",
"negative_prompt": "blur, haze",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- image
- (Img2Img) Inital image to generate variations of. If this is not none, Img2Img will be invoked.
- width
- Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- height
- Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- prompt
- Input prompt. Use <1>, <2>, <3>, etc., to specify LoRA concepts
- lora_urls
- List of urls for safetensors of lora models, seperated with | .
- scheduler
- Choose a scheduler.
- lora_scales
- List of scales for safetensors of lora models, seperated with |
- num_outputs
- Number of images to output.
- adapter_type
- (T2I-adapter) Choose an adapter type for the additional condition.
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Specify things to not see in the output
- prompt_strength
- (Img2Img) Prompt strength when providing the image. 1.0 corresponds to full destruction of information in init image
- num_inference_steps
- Number of denoising steps
- adapter_condition_image
- (T2I-adapter) Adapter Condition Image to gain extra control over generation. If this is not none, T2I adapter will be invoked. Width, Height of this image must match the above parameter, or dimension of the Img2Img image.
Output Schema
Output
Example Execution Logs
Using seed: 16285 Generating image of 512 x 512 with prompt: analog style closeup portrait of <1> cowboy hat The requested LoRAs are loaded. 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:12, 3.94it/s] 4%|▍ | 2/50 [00:00<00:10, 4.41it/s] 6%|▌ | 3/50 [00:00<00:10, 4.65it/s] 8%|▊ | 4/50 [00:00<00:09, 4.78it/s] 10%|█ | 5/50 [00:01<00:09, 4.85it/s] 12%|█▏ | 6/50 [00:01<00:09, 4.86it/s] 14%|█▍ | 7/50 [00:01<00:08, 4.88it/s] 16%|█▌ | 8/50 [00:01<00:08, 4.90it/s] 18%|█▊ | 9/50 [00:01<00:08, 4.92it/s] 20%|██ | 10/50 [00:02<00:08, 4.93it/s] 22%|██▏ | 11/50 [00:02<00:07, 4.93it/s] 24%|██▍ | 12/50 [00:02<00:07, 4.94it/s] 26%|██▌ | 13/50 [00:02<00:07, 4.93it/s] 28%|██▊ | 14/50 [00:02<00:07, 4.94it/s] 30%|███ | 15/50 [00:03<00:07, 4.95it/s] 32%|███▏ | 16/50 [00:03<00:06, 4.95it/s] 34%|███▍ | 17/50 [00:03<00:06, 4.94it/s] 36%|███▌ | 18/50 [00:03<00:06, 4.93it/s] 38%|███▊ | 19/50 [00:03<00:06, 4.94it/s] 40%|████ | 20/50 [00:04<00:06, 4.95it/s] 42%|████▏ | 21/50 [00:04<00:05, 4.94it/s] 44%|████▍ | 22/50 [00:04<00:05, 4.94it/s] 46%|████▌ | 23/50 [00:04<00:05, 4.93it/s] 48%|████▊ | 24/50 [00:04<00:05, 4.94it/s] 50%|█████ | 25/50 [00:05<00:05, 4.93it/s] 52%|█████▏ | 26/50 [00:05<00:04, 4.93it/s] 54%|█████▍ | 27/50 [00:05<00:04, 4.93it/s] 56%|█████▌ | 28/50 [00:05<00:04, 4.92it/s] 58%|█████▊ | 29/50 [00:05<00:04, 4.92it/s] 60%|██████ | 30/50 [00:06<00:04, 4.92it/s] 62%|██████▏ | 31/50 [00:06<00:03, 4.92it/s] 64%|██████▍ | 32/50 [00:06<00:03, 4.91it/s] 66%|██████▌ | 33/50 [00:06<00:03, 4.91it/s] 68%|██████▊ | 34/50 [00:06<00:03, 4.89it/s] 70%|███████ | 35/50 [00:07<00:03, 4.88it/s] 72%|███████▏ | 36/50 [00:07<00:02, 4.86it/s] 74%|███████▍ | 37/50 [00:07<00:02, 4.88it/s] 76%|███████▌ | 38/50 [00:07<00:02, 4.89it/s] 78%|███████▊ | 39/50 [00:07<00:02, 4.89it/s] 80%|████████ | 40/50 [00:08<00:02, 4.90it/s] 82%|████████▏ | 41/50 [00:08<00:01, 4.90it/s] 84%|████████▍ | 42/50 [00:08<00:01, 4.90it/s] 86%|████████▌ | 43/50 [00:08<00:01, 4.89it/s] 88%|████████▊ | 44/50 [00:08<00:01, 4.89it/s] 90%|█████████ | 45/50 [00:09<00:01, 4.87it/s] 92%|█████████▏| 46/50 [00:09<00:00, 4.85it/s] 94%|█████████▍| 47/50 [00:09<00:00, 4.87it/s] 96%|█████████▌| 48/50 [00:09<00:00, 4.87it/s] 98%|█████████▊| 49/50 [00:10<00:00, 4.88it/s] 100%|██████████| 50/50 [00:10<00:00, 4.86it/s] 100%|██████████| 50/50 [00:10<00:00, 4.89it/s]
Version Details
- Version ID
cfda4034a453627da6dd002d2ad959acb4c585b4e7204fed1d270eb3641fbea6- Version Created
- March 3, 2023