felixyifeiwang/dreamin-map 🖼️🔢❓📝✓ → 🖼️
About

Example Output
Prompt:
"a TOK game map, a golden holy heaven"
Output

Performance Metrics
1.94s
Prediction Time
2.13s
Total Time
All Input Parameters
{ "model": "schnell", "prompt": "a TOK game map, a golden holy heaven", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 4 }
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
2025-01-20 19:15:50.185 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-20 19:15:50.186 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 94%|█████████▍| 286/304 [00:00<00:00, 2845.59it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2772.16it/s] 2025-01-20 19:15:50.295 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s free=29653722750976 Downloading weights 2025-01-20T19:15:50Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpmx4jw4en/weights url=https://replicate.delivery/xezq/ZYSPVgvhgl7LAF6ebbolwmGw6DI06sagG456fbk7eLQxeTcQB/trained_model.tar 2025-01-20T19:15:50Z | INFO | [ Complete ] dest=/tmp/tmpmx4jw4en/weights size="172 MB" total_elapsed=0.492s url=https://replicate.delivery/xezq/ZYSPVgvhgl7LAF6ebbolwmGw6DI06sagG456fbk7eLQxeTcQB/trained_model.tar Downloaded weights in 0.51s 2025-01-20 19:15:50.810 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/82a04842fe57b45f 2025-01-20 19:15:50.880 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-20 19:15:50.880 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-20 19:15:50.880 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 94%|█████████▍| 287/304 [00:00<00:00, 2849.61it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2790.34it/s] 2025-01-20 19:15:50.989 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s Using seed: 58289 0it [00:00, ?it/s] 1it [00:00, 8.32it/s] 2it [00:00, 5.81it/s] 3it [00:00, 5.29it/s] 4it [00:00, 5.08it/s] 4it [00:00, 5.35it/s] Total safe images: 1 out of 1
Version Details
- Version ID
3df4101bb9dc4240c5cbdb9945f737eed96509ec345bbef21c987b5b541c822e
- Version Created
- January 20, 2025