aminemo4/alt-flux 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"ALTIMPR Cherry blossom branch hanging low over a lotus pond, three lotuses rising to meet the branch, ripples in concentric circles form in the pond from fallen petals, background of tropical forest with dappled sunlight, impressionist, fine brush strokes, painterly, play of light and shadow, colours in hexcodes: #606c38, #283618, #fefae0, #dda15e, #bc6c25, #780000, #ffc2d1, #fb6f92, #cdb4db"
Output
Performance Metrics
7.51s
Prediction Time
7.52s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/NTHzmaKYXZpD5Z0inhWyLBVoZi8MRhIhFRSeFi8DCeKwYtSH/IndiaJapanClimateCorridor-2x.png",
"model": "dev",
"prompt": "ALTIMPR Cherry blossom branch hanging low over a lotus pond, three lotuses rising to meet the branch, ripples in concentric circles form in the pond from fallen petals, background of tropical forest with dappled sunlight, impressionist, fine brush strokes, painterly, play of light and shadow, colours in hexcodes: #606c38, #283618, #fefae0, #dda15e, #bc6c25, #780000, #ffc2d1, #fb6f92, #cdb4db",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "2:3",
"output_format": "webp",
"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
free=25817093357568 Downloading weights 2025-08-03T14:53:23Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpq2s997xv/weights url=https://replicate.delivery/xezq/ZJAta82Gi648KZP9ebN8pOlpWrRDW1pFwUx1AN4LNN1fGSHVA/flux-lora.tar 2025-08-03T14:53:23Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-08-03T14:53:23Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/ZJAta82Gi648KZP9ebN8pOlpWrRDW1pFwUx1AN4LNN1fGSHVA/flux-lora.tar url=https://replicate.delivery/xezq/ZJAta82Gi648KZP9ebN8pOlpWrRDW1pFwUx1AN4LNN1fGSHVA/flux-lora.tar 2025-08-03T14:53:23Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/7fc093822a776dbdd3d7257f402ac01a690119476b26f33277e6b91b00641dd6?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250803%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250803T145323Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=b971a3e95e7b36acc36a4247d49e312f03f50edfb87bdd3a05d6508f06f3fb5d url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/ZJAta82Gi648KZP9ebN8pOlpWrRDW1pFwUx1AN4LNN1fGSHVA/flux-lora.tar 2025-08-03T14:53:23Z | INFO | [ Complete ] dest=/tmp/tmpq2s997xv/weights size="172 MB" total_elapsed=0.233s url=https://replicate.delivery/xezq/ZJAta82Gi648KZP9ebN8pOlpWrRDW1pFwUx1AN4LNN1fGSHVA/flux-lora.tar Downloaded weights in 0.29s Loaded LoRAs in 0.79s Using seed: 53261 Prompt: ALTIMPR Cherry blossom branch hanging low over a lotus pond, three lotuses rising to meet the branch, ripples in concentric circles form in the pond from fallen petals, background of tropical forest with dappled sunlight, impressionist, fine brush strokes, painterly, play of light and shadow, colours in hexcodes: #606c38, #283618, #fefae0, #dda15e, #bc6c25, #780000, #ffc2d1, #fb6f92, #cdb4db Input image size: 856x1008 [!] Resizing input image from 856x1008 to 864x1008 [!] img2img mode 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.68it/s] 9%|▊ | 2/23 [00:00<00:04, 4.59it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.56it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.55it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.55it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.54it/s] 30%|███ | 7/23 [00:01<00:03, 4.54it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.54it/s] 39%|███▉ | 9/23 [00:01<00:03, 4.54it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.54it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.53it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.53it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.53it/s] 61%|██████ | 14/23 [00:03<00:01, 4.53it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.53it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.53it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.53it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.53it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.53it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.53it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.53it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.53it/s] 100%|██████████| 23/23 [00:05<00:00, 4.53it/s] 100%|██████████| 23/23 [00:05<00:00, 4.54it/s] Total safe images: 1 out of 1
Version Details
- Version ID
cbd9f09841acd917d8d40e73a2049b60f327d9346fc56ee44ddfe8270eaf6c84- Version Created
- August 3, 2025