90995055/992053_flux 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"a picture of TRUMP47 sitting in a king chair. ultra realistic, Christmas setting"
Output
Performance Metrics
18.58s
Prediction Time
18.59s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "a picture of TRUMP47 sitting in a king chair. ultra realistic, Christmas setting",
"lora_scale": 1,
"num_outputs": 1,
"aspect_ratio": "9:16",
"output_format": "webp",
"guidance_scale": 2.5,
"output_quality": 90,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 39
}
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: 3338 Prompt: a picture of TRUMP47 sitting in a king chair. ultra realistic, Christmas setting [!] txt2img mode Using dev model free=9536736600064 Downloading weights 2024-10-09T18:56:54Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp5neueaog/weights url=https://replicate.delivery/yhqm/uh5rBqHxMnL6PRN6cKrdu4AeLgqmp5g7feffisGfFAS9p9R5E/trained_model.tar 2024-10-09T18:56:59Z | INFO | [ Complete ] dest=/tmp/tmp5neueaog/weights size="194 MB" total_elapsed=4.091s url=https://replicate.delivery/yhqm/uh5rBqHxMnL6PRN6cKrdu4AeLgqmp5g7feffisGfFAS9p9R5E/trained_model.tar Downloaded weights in 4.19s Loaded LoRAs in 4.76s 0%| | 0/39 [00:00<?, ?it/s] 3%|▎ | 1/39 [00:00<00:13, 2.85it/s] 5%|▌ | 2/39 [00:00<00:11, 3.20it/s] 8%|▊ | 3/39 [00:00<00:11, 3.04it/s] 10%|█ | 4/39 [00:01<00:11, 2.98it/s] 13%|█▎ | 5/39 [00:01<00:11, 2.94it/s] 15%|█▌ | 6/39 [00:02<00:11, 2.92it/s] 18%|█▊ | 7/39 [00:02<00:11, 2.91it/s] 21%|██ | 8/39 [00:02<00:10, 2.90it/s] 23%|██▎ | 9/39 [00:03<00:10, 2.89it/s] 26%|██▌ | 10/39 [00:03<00:10, 2.89it/s] 28%|██▊ | 11/39 [00:03<00:09, 2.89it/s] 31%|███ | 12/39 [00:04<00:09, 2.88it/s] 33%|███▎ | 13/39 [00:04<00:09, 2.88it/s] 36%|███▌ | 14/39 [00:04<00:08, 2.88it/s] 38%|███▊ | 15/39 [00:05<00:08, 2.88it/s] 41%|████ | 16/39 [00:05<00:07, 2.88it/s] 44%|████▎ | 17/39 [00:05<00:07, 2.88it/s] 46%|████▌ | 18/39 [00:06<00:07, 2.88it/s] 49%|████▊ | 19/39 [00:06<00:06, 2.88it/s] 51%|█████▏ | 20/39 [00:06<00:06, 2.88it/s] 54%|█████▍ | 21/39 [00:07<00:06, 2.88it/s] 56%|█████▋ | 22/39 [00:07<00:05, 2.88it/s] 59%|█████▉ | 23/39 [00:07<00:05, 2.87it/s] 62%|██████▏ | 24/39 [00:08<00:05, 2.87it/s] 64%|██████▍ | 25/39 [00:08<00:04, 2.88it/s] 67%|██████▋ | 26/39 [00:08<00:04, 2.88it/s] 69%|██████▉ | 27/39 [00:09<00:04, 2.88it/s] 72%|███████▏ | 28/39 [00:09<00:03, 2.88it/s] 74%|███████▍ | 29/39 [00:10<00:03, 2.88it/s] 77%|███████▋ | 30/39 [00:10<00:03, 2.88it/s] 79%|███████▉ | 31/39 [00:10<00:02, 2.88it/s] 82%|████████▏ | 32/39 [00:11<00:02, 2.88it/s] 85%|████████▍ | 33/39 [00:11<00:02, 2.88it/s] 87%|████████▋ | 34/39 [00:11<00:01, 2.88it/s] 90%|████████▉ | 35/39 [00:12<00:01, 2.88it/s] 92%|█████████▏| 36/39 [00:12<00:01, 2.88it/s] 95%|█████████▍| 37/39 [00:12<00:00, 2.88it/s] 97%|█████████▋| 38/39 [00:13<00:00, 2.88it/s] 100%|██████████| 39/39 [00:13<00:00, 2.88it/s] 100%|██████████| 39/39 [00:13<00:00, 2.89it/s]
Version Details
- Version ID
c99ea7391e2456ce5c7728b2cb44eb541ae3e7e427629815fef2eadc70ba3d76- Version Created
- October 9, 2024