cloneofsimo/realistic_vision_v1.3 🔢🖼️❓📝 → 🖼️
About
Example Output
Prompt:
"photo of <1>, detailed faces, highres, RAW photo 8k uhd, dslr"
Output
Performance Metrics
21.74s
Prediction Time
21.90s
Total Time
All Input Parameters
{
"width": 512,
"height": 512,
"prompt": "photo of <1>, detailed faces, highres, RAW photo 8k uhd, dslr",
"lora_urls": "https://replicate.delivery/pbxt/tLNfiG3fK2jZo0CrBG4cNTJNhEi7r117ANUBjWrLTkQRMraQA/tmpg9tq4is5me.safetensors",
"scheduler": "DPMSolverMultistep",
"lora_scales": "0.5",
"num_outputs": 1,
"guidance_scale": "3.5",
"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: 53121 Downloading LoRA model... from https://replicate.delivery/pbxt/tLNfiG3fK2jZo0CrBG4cNTJNhEi7r117ANUBjWrLTkQRMraQA/tmpg9tq4is5me.safetensors Embedding <s1> replaced to <s0-0> Embedding <s2> replaced to <s0-1> Saved at 94ead0a58ea126d5f88d672a70bc05d27f4b9487785bdb3cb116f5deb7e7ecc73f59a9a87db2695d9b0e566c83b2f5145cadfa7b1cf65b2567d14f015a2d7b26.safetensors merging time: 0.0844113826751709 <s0-0> <s0-1> 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:03<03:00, 3.68s/it] 4%|▍ | 2/50 [00:03<01:18, 1.64s/it] 6%|▌ | 3/50 [00:04<00:46, 1.01it/s] 8%|▊ | 4/50 [00:04<00:31, 1.47it/s] 10%|█ | 5/50 [00:04<00:22, 1.96it/s] 12%|█▏ | 6/50 [00:04<00:18, 2.43it/s] 14%|█▍ | 7/50 [00:04<00:14, 2.89it/s] 16%|█▌ | 8/50 [00:05<00:12, 3.30it/s] 18%|█▊ | 9/50 [00:05<00:11, 3.66it/s] 20%|██ | 10/50 [00:05<00:10, 3.91it/s] 22%|██▏ | 11/50 [00:05<00:09, 4.12it/s] 24%|██▍ | 12/50 [00:06<00:08, 4.27it/s] 26%|██▌ | 13/50 [00:06<00:08, 4.40it/s] 28%|██▊ | 14/50 [00:06<00:08, 4.49it/s] 30%|███ | 15/50 [00:06<00:07, 4.56it/s] 32%|███▏ | 16/50 [00:06<00:07, 4.62it/s] 34%|███▍ | 17/50 [00:07<00:07, 4.63it/s] 36%|███▌ | 18/50 [00:07<00:06, 4.65it/s] 38%|███▊ | 19/50 [00:07<00:06, 4.67it/s] 40%|████ | 20/50 [00:07<00:06, 4.68it/s] 42%|████▏ | 21/50 [00:07<00:06, 4.68it/s] 44%|████▍ | 22/50 [00:08<00:05, 4.67it/s] 46%|████▌ | 23/50 [00:08<00:05, 4.69it/s] 48%|████▊ | 24/50 [00:08<00:05, 4.70it/s] 50%|█████ | 25/50 [00:08<00:05, 4.69it/s] 52%|█████▏ | 26/50 [00:08<00:05, 4.69it/s] 54%|█████▍ | 27/50 [00:09<00:04, 4.68it/s] 56%|█████▌ | 28/50 [00:09<00:04, 4.64it/s] 58%|█████▊ | 29/50 [00:09<00:04, 4.66it/s] 60%|██████ | 30/50 [00:09<00:04, 4.66it/s] 62%|██████▏ | 31/50 [00:10<00:04, 4.68it/s] 64%|██████▍ | 32/50 [00:10<00:03, 4.68it/s] 66%|██████▌ | 33/50 [00:10<00:03, 4.67it/s] 68%|██████▊ | 34/50 [00:10<00:03, 4.68it/s] 70%|███████ | 35/50 [00:10<00:03, 4.65it/s] 72%|███████▏ | 36/50 [00:11<00:03, 4.66it/s] 74%|███████▍ | 37/50 [00:11<00:02, 4.65it/s] 76%|███████▌ | 38/50 [00:11<00:02, 4.63it/s] 78%|███████▊ | 39/50 [00:11<00:02, 4.65it/s] 80%|████████ | 40/50 [00:11<00:02, 4.64it/s] 82%|████████▏ | 41/50 [00:12<00:01, 4.63it/s] 84%|████████▍ | 42/50 [00:12<00:01, 4.63it/s] 86%|████████▌ | 43/50 [00:12<00:01, 4.64it/s] 88%|████████▊ | 44/50 [00:12<00:01, 4.61it/s] 90%|█████████ | 45/50 [00:13<00:01, 4.62it/s] 92%|█████████▏| 46/50 [00:13<00:00, 4.63it/s] 94%|█████████▍| 47/50 [00:13<00:00, 4.62it/s] 96%|█████████▌| 48/50 [00:13<00:00, 4.62it/s] 98%|█████████▊| 49/50 [00:13<00:00, 4.62it/s] 100%|██████████| 50/50 [00:14<00:00, 4.62it/s] 100%|██████████| 50/50 [00:14<00:00, 3.53it/s]
Version Details
- Version ID
db1c4227cbc7f985e335b2f0388cd6d3aa06d95087d6a71c5b3e07413738fa13- Version Created
- March 12, 2023