sunday-film/slumberland-props-2 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"a cell phone, prop, illustration style, lofi anime art, minimalist, gauche, ligne claire"
Output
Performance Metrics
17.50s
Prediction Time
17.78s
Total Time
All Input Parameters
{
"seed": 573452,
"model": "dev",
"prompt": "a cell phone, prop, illustration style, lofi anime art, minimalist, gauche, ligne claire",
"lora_scale": 1,
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 3.5,
"output_quality": 90,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 35
}
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: 573452 Prompt: a cell phone, prop, illustration style, lofi anime art, minimalist, gauche, ligne claire [!] txt2img mode Using dev model free=6316962316288 Downloading weights 2024-11-25T11:19:13Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp940wb4nw/weights url=https://replicate.delivery/xezq/fnDYnkKdker6xkTLRfABm94x1hueZXEBpFu1B3O8eukjpHjeE/trained_model.tar 2024-11-25T11:19:18Z | INFO | [ Complete ] dest=/tmp/tmp940wb4nw/weights size="451 MB" total_elapsed=4.960s url=https://replicate.delivery/xezq/fnDYnkKdker6xkTLRfABm94x1hueZXEBpFu1B3O8eukjpHjeE/trained_model.tar Downloaded weights in 4.99s Loaded LoRAs in 5.49s 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:11, 3.00it/s] 6%|▌ | 2/35 [00:00<00:09, 3.35it/s] 9%|▊ | 3/35 [00:00<00:10, 3.18it/s] 11%|█▏ | 4/35 [00:01<00:09, 3.11it/s] 14%|█▍ | 5/35 [00:01<00:09, 3.07it/s] 17%|█▋ | 6/35 [00:01<00:09, 3.05it/s] 20%|██ | 7/35 [00:02<00:09, 3.03it/s] 23%|██▎ | 8/35 [00:02<00:08, 3.02it/s] 26%|██▌ | 9/35 [00:02<00:08, 3.02it/s] 29%|██▊ | 10/35 [00:03<00:08, 3.01it/s] 31%|███▏ | 11/35 [00:03<00:07, 3.01it/s] 34%|███▍ | 12/35 [00:03<00:07, 3.01it/s] 37%|███▋ | 13/35 [00:04<00:07, 3.01it/s] 40%|████ | 14/35 [00:04<00:06, 3.01it/s] 43%|████▎ | 15/35 [00:04<00:06, 3.01it/s] 46%|████▌ | 16/35 [00:05<00:06, 3.00it/s] 49%|████▊ | 17/35 [00:05<00:05, 3.01it/s] 51%|█████▏ | 18/35 [00:05<00:05, 3.01it/s] 54%|█████▍ | 19/35 [00:06<00:05, 3.00it/s] 57%|█████▋ | 20/35 [00:06<00:04, 3.00it/s] 60%|██████ | 21/35 [00:06<00:04, 3.00it/s] 63%|██████▎ | 22/35 [00:07<00:04, 3.00it/s] 66%|██████▌ | 23/35 [00:07<00:03, 3.00it/s] 69%|██████▊ | 24/35 [00:07<00:03, 3.00it/s] 71%|███████▏ | 25/35 [00:08<00:03, 3.00it/s] 74%|███████▍ | 26/35 [00:08<00:02, 3.00it/s] 77%|███████▋ | 27/35 [00:08<00:02, 3.00it/s] 80%|████████ | 28/35 [00:09<00:02, 3.00it/s] 83%|████████▎ | 29/35 [00:09<00:01, 3.00it/s] 86%|████████▌ | 30/35 [00:09<00:01, 3.00it/s] 89%|████████▊ | 31/35 [00:10<00:01, 3.00it/s] 91%|█████████▏| 32/35 [00:10<00:00, 3.00it/s] 94%|█████████▍| 33/35 [00:10<00:00, 3.00it/s] 97%|█████████▋| 34/35 [00:11<00:00, 3.00it/s] 100%|██████████| 35/35 [00:11<00:00, 3.00it/s] 100%|██████████| 35/35 [00:11<00:00, 3.02it/s]
Version Details
- Version ID
81d26d0824ce895e23fc548580e7881eda976c4e3ca7feaeb5376fdf8711e60f- Version Created
- November 25, 2024