qunash/iphone_camera_style 🖼️🔢❓📝✓ → 🖼️
About
Trained on iPhone photos of Tokyo. Add "shot on TOKSTYL camera" at the end of your prompts.
Example Output
Prompt:
"A cinematic abstract painting of a self-assured woman with a messy mid-length haircut. She is wearing a T-shirt and baggy pants, sitting in a hanging chair with her legs crossed. A large, fluffy cat is sitting on her legs. The artist uses warm and cool colors, such as oranges, blacks, and whites, to create a dynamic and emotive atmosphere. The bold, expressive brushstrokes bring the scene to life, while the muted background with hints of blues and yellows contrasts with the vibrant hues of the central figures. By Sasan. shot on TOKSTYL camera."
Output
Performance Metrics
40.49s
Prediction Time
43.74s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "A cinematic abstract painting of a self-assured woman with a messy mid-length haircut. She is wearing a T-shirt and baggy pants, sitting in a hanging chair with her legs crossed. A large, fluffy cat is sitting on her legs. The artist uses warm and cool colors, such as oranges, blacks, and whites, to create a dynamic and emotive atmosphere. The bold, expressive brushstrokes bring the scene to life, while the muted background with hints of blues and yellows contrasts with the vibrant hues of the central figures. By Sasan. shot on TOKSTYL camera.",
"lora_scale": 1,
"num_outputs": 4,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"extra_lora_scale": 0.8,
"num_inference_steps": 28
}
Input Parameters
- mask
- Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- seed
- Random seed. Set for reproducible generation
- image
- Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- model
- Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.
- width
- Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
- height
- Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
- prompt (required)
- Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.
- go_fast
- Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16
- extra_lora
- Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
- lora_scale
- Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
- megapixels
- Approximate number of megapixels for generated image
- num_outputs
- Number of outputs to generate
- aspect_ratio
- Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode
- output_format
- Format of the output images
- guidance_scale
- Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5
- output_quality
- Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
- prompt_strength
- Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
- extra_lora_scale
- Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
- replicate_weights
- Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
- num_inference_steps
- Number of denoising steps. More steps can give more detailed images, but take longer.
- disable_safety_checker
- Disable safety checker for generated images.
Output Schema
Output
Example Execution Logs
Using seed: 64929 Prompt: A cinematic abstract painting of a self-assured woman with a messy mid-length haircut. She is wearing a T-shirt and baggy pants, sitting in a hanging chair with her legs crossed. A large, fluffy cat is sitting on her legs. The artist uses warm and cool colors, such as oranges, blacks, and whites, to create a dynamic and emotive atmosphere. The bold, expressive brushstrokes bring the scene to life, while the muted background with hints of blues and yellows contrasts with the vibrant hues of the central figures. By Sasan. shot on TOKSTYL camera. txt2img mode Using dev model free=9374762504192 Downloading weights 2024-09-01T15:01:17Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp801mu_te/weights url=https://replicate.delivery/yhqm/BRTUKRMXKZb4LJmgxf2ePi6EkxLiJM66ovfqKj2twc1XZFxmA/trained_model.tar 2024-09-01T15:01:19Z | INFO | [ Complete ] dest=/tmp/tmp801mu_te/weights size="172 MB" total_elapsed=1.539s url=https://replicate.delivery/yhqm/BRTUKRMXKZb4LJmgxf2ePi6EkxLiJM66ovfqKj2twc1XZFxmA/trained_model.tar Downloaded weights in 1.57s Loaded LoRAs in 10.65s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['atmosphere. the bold, expressive brushstrokes bring the scene to life, while the muted background with hints of blues and yellows contrasts with the vibrant hues of the central figures. by sasan. shot on tokstyl camera.', 'atmosphere. the bold, expressive brushstrokes bring the scene to life, while the muted background with hints of blues and yellows contrasts with the vibrant hues of the central figures. by sasan. shot on tokstyl camera.', 'atmosphere. the bold, expressive brushstrokes bring the scene to life, while the muted background with hints of blues and yellows contrasts with the vibrant hues of the central figures. by sasan. shot on tokstyl camera.', 'atmosphere. the bold, expressive brushstrokes bring the scene to life, while the muted background with hints of blues and yellows contrasts with the vibrant hues of the central figures. by sasan. shot on tokstyl camera.'] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:27, 1.01s/it] 7%|▋ | 2/28 [00:01<00:22, 1.13it/s] 11%|█ | 3/28 [00:02<00:23, 1.06it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.03it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.02it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.01it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.00it/s] 29%|██▊ | 8/28 [00:07<00:20, 1.00s/it] 32%|███▏ | 9/28 [00:08<00:19, 1.00s/it] 36%|███▌ | 10/28 [00:09<00:18, 1.01s/it] 39%|███▉ | 11/28 [00:10<00:17, 1.01s/it] 43%|████▎ | 12/28 [00:11<00:16, 1.01s/it] 46%|████▋ | 13/28 [00:12<00:15, 1.01s/it] 50%|█████ | 14/28 [00:13<00:14, 1.01s/it] 54%|█████▎ | 15/28 [00:14<00:13, 1.01s/it] 57%|█████▋ | 16/28 [00:15<00:12, 1.01s/it] 61%|██████ | 17/28 [00:16<00:11, 1.01s/it] 64%|██████▍ | 18/28 [00:17<00:10, 1.01s/it] 68%|██████▊ | 19/28 [00:19<00:09, 1.01s/it] 71%|███████▏ | 20/28 [00:20<00:08, 1.01s/it] 75%|███████▌ | 21/28 [00:21<00:07, 1.01s/it] 79%|███████▊ | 22/28 [00:22<00:06, 1.01s/it] 82%|████████▏ | 23/28 [00:23<00:05, 1.01s/it] 86%|████████▌ | 24/28 [00:24<00:04, 1.01s/it] 89%|████████▉ | 25/28 [00:25<00:03, 1.01s/it] 93%|█████████▎| 26/28 [00:26<00:02, 1.01s/it] 96%|█████████▋| 27/28 [00:27<00:01, 1.01s/it] 100%|██████████| 28/28 [00:28<00:00, 1.01s/it] 100%|██████████| 28/28 [00:28<00:00, 1.00s/it]
Version Details
- Version ID
e5582a4cac8eb6f5016386303b71e9a43dd9f26939c74b7fbb62343af9594653- Version Created
- September 1, 2024