Readme
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FLUX.1-dev with XLabs-AI’s realism lora
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run xlabs-ai/flux-dev-realism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"xlabs-ai/flux-dev-realism:39b3434f194f87a900d1bc2b6d4b983e90f0dde1d5022c27b52c143d670758fa",
{
input: {
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
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run xlabs-ai/flux-dev-realism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"xlabs-ai/flux-dev-realism:39b3434f194f87a900d1bc2b6d4b983e90f0dde1d5022c27b52c143d670758fa",
input={
"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
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run xlabs-ai/flux-dev-realism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
-H "Content-Type: application/json" \
-H "Prefer: wait" \
-d $'{
"version": "39b3434f194f87a900d1bc2b6d4b983e90f0dde1d5022c27b52c143d670758fa",
"input": {
"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
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
brew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run xlabs-ai/flux-dev-realism using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/xlabs-ai/flux-dev-realism@sha256:39b3434f194f87a900d1bc2b6d4b983e90f0dde1d5022c27b52c143d670758fa \
-i $'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."' \
-i 'guidance=3.5' \
-i 'num_outputs=1' \
-i 'aspect_ratio="4:5"' \
-i 'lora_strength=0.8' \
-i 'output_format="webp"' \
-i 'output_quality=100' \
-i 'num_inference_steps=30'
To learn more, take a look at the Cog documentation.
Pull and run xlabs-ai/flux-dev-realism using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/xlabs-ai/flux-dev-realism@sha256:39b3434f194f87a900d1bc2b6d4b983e90f0dde1d5022c27b52c143d670758fa
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "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 } }' \ http://localhost:5000/predictions
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{
"completed_at": "2024-08-10T21:03:47.643409Z",
"created_at": "2024-08-10T21:03:33.897000Z",
"data_removed": false,
"error": null,
"id": "zj1sazmg15rj00ch7rd994r67m",
"input": {
"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
},
"logs": "Random seed set to: 1191887297\nRunning workflow\ngot prompt\nExecuting node 25, title: RandomNoise, class type: RandomNoise\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 60, title: FluxGuidance, class type: FluxGuidance\nExecuting node 22, title: BasicGuider, class type: BasicGuider\nExecuting node 13, title: SamplerCustomAdvanced, class type: SamplerCustomAdvanced\n 0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:00<00:06, 4.27it/s]\n 7%|▋ | 2/30 [00:00<00:09, 2.93it/s]\n 10%|█ | 3/30 [00:01<00:10, 2.66it/s]\n 13%|█▎ | 4/30 [00:01<00:10, 2.55it/s]\n 17%|█▋ | 5/30 [00:01<00:10, 2.49it/s]\n 20%|██ | 6/30 [00:02<00:09, 2.46it/s]\n 23%|██▎ | 7/30 [00:02<00:09, 2.44it/s]\n 27%|██▋ | 8/30 [00:03<00:09, 2.42it/s]\n 30%|███ | 9/30 [00:03<00:08, 2.41it/s]\n 33%|███▎ | 10/30 [00:03<00:08, 2.41it/s]\n 37%|███▋ | 11/30 [00:04<00:07, 2.40it/s]\n 40%|████ | 12/30 [00:04<00:07, 2.40it/s]\n 43%|████▎ | 13/30 [00:05<00:07, 2.40it/s]\n 47%|████▋ | 14/30 [00:05<00:06, 2.40it/s]\n 50%|█████ | 15/30 [00:06<00:06, 2.40it/s]\n 53%|█████▎ | 16/30 [00:06<00:05, 2.39it/s]\n 57%|█████▋ | 17/30 [00:06<00:05, 2.39it/s]\n 60%|██████ | 18/30 [00:07<00:05, 2.39it/s]\n 63%|██████▎ | 19/30 [00:07<00:04, 2.39it/s]\n 67%|██████▋ | 20/30 [00:08<00:04, 2.39it/s]\n 70%|███████ | 21/30 [00:08<00:03, 2.39it/s]\n 73%|███████▎ | 22/30 [00:09<00:03, 2.39it/s]\n 77%|███████▋ | 23/30 [00:09<00:02, 2.39it/s]\n 80%|████████ | 24/30 [00:09<00:02, 2.39it/s]\n 83%|████████▎ | 25/30 [00:10<00:02, 2.39it/s]\n 87%|████████▋ | 26/30 [00:10<00:01, 2.39it/s]\n 90%|█████████ | 27/30 [00:11<00:01, 2.39it/s]\n 93%|█████████▎| 28/30 [00:11<00:00, 2.39it/s]\n 97%|█████████▋| 29/30 [00:11<00:00, 2.39it/s]\n100%|██████████| 30/30 [00:12<00:00, 2.39it/s]\n100%|██████████| 30/30 [00:12<00:00, 2.43it/s]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\nPrompt executed in 13.19 seconds\noutputs: {'9': {'images': [{'filename': 'R8_FLUX_DEV_REALISM_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nR8_FLUX_DEV_REALISM_00001_.png",
"metrics": {
"predict_time": 13.736403549,
"total_time": 13.746409
},
"output": [
"https://replicate.delivery/yhqm/RRqzNwnofelJuUCkhiicKoHWcVr9ye2Ln3fnjQEZRNnM7hFNB/R8_FLUX_DEV_REALISM_00001_.webp"
],
"started_at": "2024-08-10T21:03:33.907006Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/zj1sazmg15rj00ch7rd994r67m",
"cancel": "https://api.replicate.com/v1/predictions/zj1sazmg15rj00ch7rd994r67m/cancel"
},
"version": "39b3434f194f87a900d1bc2b6d4b983e90f0dde1d5022c27b52c143d670758fa"
}
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
This model costs approximately $0.035 to run on Replicate, or 28 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 25 seconds. The predict time for this model varies significantly based on the inputs.
This model doesn't have a readme.
This model is warm. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
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