xlabs-ai/flux-dev-realism 🔢📝❓ → 🖼️
About
FLUX.1-dev with XLabs-AI’s realism lora
Example Output
Prompt:
"
A charismatic speaker is captured mid-speech. He has short, tousled brown hair that's slightly messy on top. He has a round circle face, clean shaven, adorned with rounded rectangular-framed glasses with dark rims, is animated as he gestures with his left hand. He is holding a black microphone in his right hand, speaking passionately.
The man is wearing a light grey sweater over a white t-shirt. He's also wearing a simple black lanyard hanging around his neck. The lanyard badge has the text "Replicate".
Behind him, there is a blurred background with a white banner containing logos and text (including replicate), a professional conference setting.
"Output
Performance Metrics
13.74s
Prediction Time
13.75s
Total Time
All Input Parameters
{
"prompt": "A charismatic speaker is captured mid-speech. He has short, tousled brown hair that's slightly messy on top. He has a round circle face, clean shaven, adorned with rounded rectangular-framed glasses with dark rims, is animated as he gestures with his left hand. He is holding a black microphone in his right hand, speaking passionately.\n\nThe man is wearing a light grey sweater over a white t-shirt. He's also wearing a simple black lanyard hanging around his neck. The lanyard badge has the text \"Replicate\".\n\nBehind him, there is a blurred background with a white banner containing logos and text (including replicate), a professional conference setting.",
"guidance": 3.5,
"num_outputs": 1,
"aspect_ratio": "4:5",
"lora_strength": 0.8,
"output_format": "webp",
"output_quality": 100,
"num_inference_steps": 30
}
Input Parameters
- seed
- Set a seed for reproducibility. Random by default.
- prompt
- guidance
- Guidance for generated image
- num_outputs
- Number of outputs to generate
- aspect_ratio
- Aspect ratio for the generated image
- lora_strength
- Strength of flux-realism lora, 0 is disabled
- output_format
- Format of the output images
- output_quality
- Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.
- num_inference_steps
- Number of denoising steps. Recommended range is 28-50
Output Schema
Output
Example Execution Logs
Random seed set to: 1191887297
Running workflow
got prompt
Executing node 25, title: RandomNoise, class type: RandomNoise
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 60, title: FluxGuidance, class type: FluxGuidance
Executing node 22, title: BasicGuider, class type: BasicGuider
Executing node 13, title: SamplerCustomAdvanced, class type: SamplerCustomAdvanced
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Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 9, title: Save Image, class type: SaveImage
Prompt executed in 13.19 seconds
outputs: {'9': {'images': [{'filename': 'R8_FLUX_DEV_REALISM_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
R8_FLUX_DEV_REALISM_00001_.png
Version Details
- Version ID
39b3434f194f87a900d1bc2b6d4b983e90f0dde1d5022c27b52c143d670758fa- Version Created
- August 10, 2024