swk23/thrawn 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
""close up of Grand Admiral Thrawn stands tall in a cold, windowless, metallic Imperial meeting room, His pristine white uniform contrasts against the dark surroundings, his posture exuding quiet confidence and meticulous calculation.""
Output
Performance Metrics
6.67s
Prediction Time
6.76s
Total Time
All Input Parameters
{
"mask": "https://replicate.delivery/pbxt/MSsWwCc2J9C9y1lJagB7emAf7SUZhq1sm0gox9Bmu87TGfRt/test1.png",
"image": "https://replicate.delivery/pbxt/MSsWw1V5lhrBELDWGjE3yj5FMxXWynrP5wluUxurtBu3kpOw/test.png",
"model": "dev",
"prompt": "\"close up of Grand Admiral Thrawn stands tall in a cold, windowless, metallic Imperial meeting room, His pristine white uniform contrasts against the dark surroundings, his posture exuding quiet confidence and meticulous calculation.\"",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "21:9",
"output_format": "jpg",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"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
Loaded LoRAs in 0.56s Using seed: 55506 Prompt: "close up of Grand Admiral Thrawn stands tall in a cold, windowless, metallic Imperial meeting room, His pristine white uniform contrasts against the dark surroundings, his posture exuding quiet confidence and meticulous calculation." [!] Resizing input image from 1536x640 to 1536x640 [!] inpaint mode 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.52it/s] 9%|▊ | 2/23 [00:00<00:05, 3.92it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.06it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.14it/s] 22%|██▏ | 5/23 [00:01<00:04, 4.18it/s] 26%|██▌ | 6/23 [00:01<00:04, 4.21it/s] 30%|███ | 7/23 [00:01<00:03, 4.23it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.24it/s] 39%|███▉ | 9/23 [00:02<00:03, 4.24it/s] 43%|████▎ | 10/23 [00:02<00:03, 4.25it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.25it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.25it/s] 57%|█████▋ | 13/23 [00:03<00:02, 4.26it/s] 61%|██████ | 14/23 [00:03<00:02, 4.25it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.25it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.25it/s] 74%|███████▍ | 17/23 [00:04<00:01, 4.25it/s] 78%|███████▊ | 18/23 [00:04<00:01, 4.25it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.25it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.25it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.26it/s] 96%|█████████▌| 22/23 [00:05<00:00, 4.26it/s] 100%|██████████| 23/23 [00:05<00:00, 4.53it/s] 100%|██████████| 23/23 [00:05<00:00, 4.25it/s] Total safe images: 1 out of 1
Version Details
- Version ID
42ae1f4cb37a88cb8bcc17e5949e52290d1fe5a74a50a11b05a61cc98ff62d56- Version Created
- January 26, 2025