cloneofsimo/gta5_lora 🔢🖼️❓📝 → 🖼️
About

Example Output
Prompt:
"a photo of <1> gtav style"
Output

Performance Metrics
13.03s
Prediction Time
307.64s
Total Time
All Input Parameters
{ "width": 512, "height": 512, "prompt": "a photo of <1> gtav style", "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors", "scheduler": "DPMSolverMultistep", "lora_scales": "0.3", "num_outputs": 1, "guidance_scale": 7.5, "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: 34243 Downloading LoRA model... from https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors Embedding <s1> replaced to <s0-0> Embedding <s2> replaced to <s0-1> Saved at a19abd9d90155444e77213ffdb9df509104c355cf2070e66c289ca10190d119b7247ec08de67cee71cbafc02e4d35a005a68eba909b4cce697fe7b695de4b355.safetensors merging time: 0.04404568672180176 <s0-0> The tokenizer already contains the token <s0-0>. Replacing <s0-0> embedding. <s0-1> The tokenizer already contains the token <s0-1>. Replacing <s0-1> embedding. 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.71it/s] 4%|▍ | 2/50 [00:00<00:10, 4.37it/s] 6%|▌ | 3/50 [00:00<00:10, 4.68it/s] 8%|▊ | 4/50 [00:00<00:09, 4.86it/s] 10%|█ | 5/50 [00:01<00:09, 4.93it/s] 12%|█▏ | 6/50 [00:01<00:08, 4.96it/s] 14%|█▍ | 7/50 [00:01<00:08, 5.00it/s] 16%|█▌ | 8/50 [00:01<00:08, 5.02it/s] 18%|█▊ | 9/50 [00:01<00:08, 5.05it/s] 20%|██ | 10/50 [00:02<00:07, 5.07it/s] 22%|██▏ | 11/50 [00:02<00:07, 5.06it/s] 24%|██▍ | 12/50 [00:02<00:07, 5.05it/s] 26%|██▌ | 13/50 [00:02<00:07, 5.07it/s] 28%|██▊ | 14/50 [00:02<00:07, 5.08it/s] 30%|███ | 15/50 [00:03<00:06, 5.08it/s] 32%|███▏ | 16/50 [00:03<00:06, 5.08it/s] 34%|███▍ | 17/50 [00:03<00:06, 5.07it/s] 36%|███▌ | 18/50 [00:03<00:06, 5.06it/s] 38%|███▊ | 19/50 [00:03<00:06, 5.06it/s] 40%|████ | 20/50 [00:04<00:05, 5.05it/s] 42%|████▏ | 21/50 [00:04<00:05, 5.06it/s] 44%|████▍ | 22/50 [00:04<00:05, 5.06it/s] 46%|████▌ | 23/50 [00:04<00:05, 5.05it/s] 48%|████▊ | 24/50 [00:04<00:05, 5.04it/s] 50%|█████ | 25/50 [00:05<00:04, 5.06it/s] 52%|█████▏ | 26/50 [00:05<00:04, 5.06it/s] 54%|█████▍ | 27/50 [00:05<00:04, 5.06it/s] 56%|█████▌ | 28/50 [00:05<00:04, 5.04it/s] 58%|█████▊ | 29/50 [00:05<00:04, 5.04it/s] 60%|██████ | 30/50 [00:05<00:03, 5.06it/s] 62%|██████▏ | 31/50 [00:06<00:03, 5.07it/s] 64%|██████▍ | 32/50 [00:06<00:03, 5.05it/s] 66%|██████▌ | 33/50 [00:06<00:03, 5.05it/s] 68%|██████▊ | 34/50 [00:06<00:03, 5.07it/s] 70%|███████ | 35/50 [00:06<00:02, 5.07it/s] 72%|███████▏ | 36/50 [00:07<00:02, 5.07it/s] 74%|███████▍ | 37/50 [00:07<00:02, 5.08it/s] 76%|███████▌ | 38/50 [00:07<00:02, 5.08it/s] 78%|███████▊ | 39/50 [00:07<00:02, 5.06it/s] 80%|████████ | 40/50 [00:07<00:01, 5.07it/s] 82%|████████▏ | 41/50 [00:08<00:01, 5.08it/s] 84%|████████▍ | 42/50 [00:08<00:01, 5.07it/s] 86%|████████▌ | 43/50 [00:08<00:01, 5.07it/s] 88%|████████▊ | 44/50 [00:08<00:01, 5.05it/s] 90%|█████████ | 45/50 [00:08<00:00, 5.06it/s] 92%|█████████▏| 46/50 [00:09<00:00, 5.07it/s] 94%|█████████▍| 47/50 [00:09<00:00, 5.06it/s] 96%|█████████▌| 48/50 [00:09<00:00, 5.05it/s] 98%|█████████▊| 49/50 [00:09<00:00, 5.03it/s] 100%|██████████| 50/50 [00:09<00:00, 5.04it/s] 100%|██████████| 50/50 [00:09<00:00, 5.03it/s]
Version Details
- Version ID
3c2f37b92610fb0d92d6acdb3e7754e467790c7ed76760fcc0b952f9c0ec49cd
- Version Created
- March 3, 2023