nell696 / me-lora
- Public
- 36 runs
-
H100
Prediction
nell696/me-lora:059a199e88e9031a017f8f5dccae22c7b25b632cecc1f0e3455febce47885ea8ID697w3c3cmsrme0cmj1n8d35nn0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Realistic portrait shot of Melly, framed in a dynamic three-quarter view that captures her engaging smile directed at the camera. Her hair features a striking ombré effect, transitioning from deep black roots and face-framing bangs to a vibrant azure blue through the lengths. Modern, stylish glasses frame her eyes, enhancing her facial features. The composition emphasizes high-contrast lighting that accentuates the dimension in her hair color and brings warmth to her expression. Sharp focus on her face creates natural depth of field, with crisp detail in her features that draws attention to her genuine, welcoming smile.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 16:9
- output_format
- jpg
- guidance_scale
- 2.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1.25
- num_inference_steps
- 35
{ "model": "dev", "prompt": "Realistic portrait shot of Melly, framed in a dynamic three-quarter view that captures her engaging smile directed at the camera. Her hair features a striking ombré effect, transitioning from deep black roots and face-framing bangs to a vibrant azure blue through the lengths. Modern, stylish glasses frame her eyes, enhancing her facial features. The composition emphasizes high-contrast lighting that accentuates the dimension in her hair color and brings warmth to her expression. Sharp focus on her face creates natural depth of field, with crisp detail in her features that draws attention to her genuine, welcoming smile.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 2.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1.25, "num_inference_steps": 35 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run nell696/me-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "nell696/me-lora:059a199e88e9031a017f8f5dccae22c7b25b632cecc1f0e3455febce47885ea8", { input: { model: "dev", prompt: "Realistic portrait shot of Melly, framed in a dynamic three-quarter view that captures her engaging smile directed at the camera. Her hair features a striking ombré effect, transitioning from deep black roots and face-framing bangs to a vibrant azure blue through the lengths. Modern, stylish glasses frame her eyes, enhancing her facial features. The composition emphasizes high-contrast lighting that accentuates the dimension in her hair color and brings warmth to her expression. Sharp focus on her face creates natural depth of field, with crisp detail in her features that draws attention to her genuine, welcoming smile.", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "16:9", output_format: "jpg", guidance_scale: 2.5, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1.25, num_inference_steps: 35 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun nell696/me-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "nell696/me-lora:059a199e88e9031a017f8f5dccae22c7b25b632cecc1f0e3455febce47885ea8", input={ "model": "dev", "prompt": "Realistic portrait shot of Melly, framed in a dynamic three-quarter view that captures her engaging smile directed at the camera. Her hair features a striking ombré effect, transitioning from deep black roots and face-framing bangs to a vibrant azure blue through the lengths. Modern, stylish glasses frame her eyes, enhancing her facial features. The composition emphasizes high-contrast lighting that accentuates the dimension in her hair color and brings warmth to her expression. Sharp focus on her face creates natural depth of field, with crisp detail in her features that draws attention to her genuine, welcoming smile.", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 2.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1.25, "num_inference_steps": 35 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())To learn more, take a look at the guide on getting started with Python.
Run nell696/me-lora 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": "nell696/me-lora:059a199e88e9031a017f8f5dccae22c7b25b632cecc1f0e3455febce47885ea8", "input": { "model": "dev", "prompt": "Realistic portrait shot of Melly, framed in a dynamic three-quarter view that captures her engaging smile directed at the camera. Her hair features a striking ombré effect, transitioning from deep black roots and face-framing bangs to a vibrant azure blue through the lengths. Modern, stylish glasses frame her eyes, enhancing her facial features. The composition emphasizes high-contrast lighting that accentuates the dimension in her hair color and brings warmth to her expression. Sharp focus on her face creates natural depth of field, with crisp detail in her features that draws attention to her genuine, welcoming smile.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 2.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1.25, "num_inference_steps": 35 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-22T23:48:11.593290Z", "created_at": "2025-01-22T23:48:01.318000Z", "data_removed": false, "error": null, "id": "697w3c3cmsrme0cmj1n8d35nn0", "input": { "model": "dev", "prompt": "Realistic portrait shot of Melly, framed in a dynamic three-quarter view that captures her engaging smile directed at the camera. Her hair features a striking ombré effect, transitioning from deep black roots and face-framing bangs to a vibrant azure blue through the lengths. Modern, stylish glasses frame her eyes, enhancing her facial features. The composition emphasizes high-contrast lighting that accentuates the dimension in her hair color and brings warmth to her expression. Sharp focus on her face creates natural depth of field, with crisp detail in her features that draws attention to her genuine, welcoming smile.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 2.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1.25, "num_inference_steps": 35 }, "logs": "2025-01-22 23:48:01.343 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-22 23:48:01.343 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 284/304 [00:00<00:00, 2829.96it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2629.15it/s]\n2025-01-22 23:48:01.459 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=28671830704128\nDownloading weights\n2025-01-22T23:48:01Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpzrzcr3ku/weights url=https://replicate.delivery/xezq/MESqOALxfs36OqJMef10RtOofpM9v776itIfWlDJGMoI9S8gC/trained_model.tar\n2025-01-22T23:48:03Z | INFO | [ Complete ] dest=/tmp/tmpzrzcr3ku/weights size=\"172 MB\" total_elapsed=2.431s url=https://replicate.delivery/xezq/MESqOALxfs36OqJMef10RtOofpM9v776itIfWlDJGMoI9S8gC/trained_model.tar\nDownloaded weights in 2.46s\n2025-01-22 23:48:03.921 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/a1d50bc44b24adbe\n2025-01-22 23:48:03.995 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-22 23:48:03.995 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-22 23:48:03.996 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 284/304 [00:00<00:00, 2831.56it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2630.93it/s]\n2025-01-22 23:48:04.111 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 37044\n0it [00:00, ?it/s]\n1it [00:00, 8.43it/s]\n2it [00:00, 5.88it/s]\n3it [00:00, 5.38it/s]\n4it [00:00, 5.16it/s]\n5it [00:00, 5.03it/s]\n6it [00:01, 4.93it/s]\n7it [00:01, 4.89it/s]\n8it [00:01, 4.88it/s]\n9it [00:01, 4.86it/s]\n10it [00:01, 4.84it/s]\n11it [00:02, 4.83it/s]\n12it [00:02, 4.82it/s]\n13it [00:02, 4.83it/s]\n14it [00:02, 4.83it/s]\n15it [00:03, 4.81it/s]\n16it [00:03, 4.81it/s]\n17it [00:03, 4.81it/s]\n18it [00:03, 4.81it/s]\n19it [00:03, 4.81it/s]\n20it [00:04, 4.80it/s]\n21it [00:04, 4.81it/s]\n22it [00:04, 4.81it/s]\n23it [00:04, 4.81it/s]\n24it [00:04, 4.81it/s]\n25it [00:05, 4.80it/s]\n26it [00:05, 4.79it/s]\n27it [00:05, 4.79it/s]\n28it [00:05, 4.80it/s]\n29it [00:05, 4.80it/s]\n30it [00:06, 4.80it/s]\n31it [00:06, 4.80it/s]\n32it [00:06, 4.80it/s]\n33it [00:06, 4.80it/s]\n34it [00:06, 4.81it/s]\n35it [00:07, 4.81it/s]\n35it [00:07, 4.87it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 10.249082389, "total_time": 10.27529 }, "output": [ "https://replicate.delivery/xezq/EzMO8cbcKEJQDNJs4jyrYCdLlpJl0zxVIpxSl0xkYl2u18BF/out-0.jpg" ], "started_at": "2025-01-22T23:48:01.344207Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-7vw6u4qs63ojviacf2n76kylckr75g4cnoij5slwkdm6lkltphfq", "get": "https://api.replicate.com/v1/predictions/697w3c3cmsrme0cmj1n8d35nn0", "cancel": "https://api.replicate.com/v1/predictions/697w3c3cmsrme0cmj1n8d35nn0/cancel" }, "version": "059a199e88e9031a017f8f5dccae22c7b25b632cecc1f0e3455febce47885ea8" }Generated in2025-01-22 23:48:01.343 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-22 23:48:01.343 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 93%|█████████▎| 284/304 [00:00<00:00, 2829.96it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2629.15it/s] 2025-01-22 23:48:01.459 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s free=28671830704128 Downloading weights 2025-01-22T23:48:01Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpzrzcr3ku/weights url=https://replicate.delivery/xezq/MESqOALxfs36OqJMef10RtOofpM9v776itIfWlDJGMoI9S8gC/trained_model.tar 2025-01-22T23:48:03Z | INFO | [ Complete ] dest=/tmp/tmpzrzcr3ku/weights size="172 MB" total_elapsed=2.431s url=https://replicate.delivery/xezq/MESqOALxfs36OqJMef10RtOofpM9v776itIfWlDJGMoI9S8gC/trained_model.tar Downloaded weights in 2.46s 2025-01-22 23:48:03.921 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/a1d50bc44b24adbe 2025-01-22 23:48:03.995 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-22 23:48:03.995 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-22 23:48:03.996 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 93%|█████████▎| 284/304 [00:00<00:00, 2831.56it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2630.93it/s] 2025-01-22 23:48:04.111 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s Using seed: 37044 0it [00:00, ?it/s] 1it [00:00, 8.43it/s] 2it [00:00, 5.88it/s] 3it [00:00, 5.38it/s] 4it [00:00, 5.16it/s] 5it [00:00, 5.03it/s] 6it [00:01, 4.93it/s] 7it [00:01, 4.89it/s] 8it [00:01, 4.88it/s] 9it [00:01, 4.86it/s] 10it [00:01, 4.84it/s] 11it [00:02, 4.83it/s] 12it [00:02, 4.82it/s] 13it [00:02, 4.83it/s] 14it [00:02, 4.83it/s] 15it [00:03, 4.81it/s] 16it [00:03, 4.81it/s] 17it [00:03, 4.81it/s] 18it [00:03, 4.81it/s] 19it [00:03, 4.81it/s] 20it [00:04, 4.80it/s] 21it [00:04, 4.81it/s] 22it [00:04, 4.81it/s] 23it [00:04, 4.81it/s] 24it [00:04, 4.81it/s] 25it [00:05, 4.80it/s] 26it [00:05, 4.79it/s] 27it [00:05, 4.79it/s] 28it [00:05, 4.80it/s] 29it [00:05, 4.80it/s] 30it [00:06, 4.80it/s] 31it [00:06, 4.80it/s] 32it [00:06, 4.80it/s] 33it [00:06, 4.80it/s] 34it [00:06, 4.81it/s] 35it [00:07, 4.81it/s] 35it [00:07, 4.87it/s] Total safe images: 1 out of 1Prediction
nell696/me-lora:059a199e88e9031a017f8f5dccae22c7b25b632cecc1f0e3455febce47885ea8ID697w3c3cmsrme0cmj1n8d35nn0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Realistic portrait shot of Melly, framed in a dynamic three-quarter view that captures her engaging smile directed at the camera. Her hair features a striking ombré effect, transitioning from deep black roots and face-framing bangs to a vibrant azure blue through the lengths. Modern, stylish glasses frame her eyes, enhancing her facial features. The composition emphasizes high-contrast lighting that accentuates the dimension in her hair color and brings warmth to her expression. Sharp focus on her face creates natural depth of field, with crisp detail in her features that draws attention to her genuine, welcoming smile.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 16:9
- output_format
- jpg
- guidance_scale
- 2.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1.25
- num_inference_steps
- 35
{ "model": "dev", "prompt": "Realistic portrait shot of Melly, framed in a dynamic three-quarter view that captures her engaging smile directed at the camera. Her hair features a striking ombré effect, transitioning from deep black roots and face-framing bangs to a vibrant azure blue through the lengths. Modern, stylish glasses frame her eyes, enhancing her facial features. The composition emphasizes high-contrast lighting that accentuates the dimension in her hair color and brings warmth to her expression. Sharp focus on her face creates natural depth of field, with crisp detail in her features that draws attention to her genuine, welcoming smile.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 2.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1.25, "num_inference_steps": 35 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run nell696/me-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "nell696/me-lora:059a199e88e9031a017f8f5dccae22c7b25b632cecc1f0e3455febce47885ea8", { input: { model: "dev", prompt: "Realistic portrait shot of Melly, framed in a dynamic three-quarter view that captures her engaging smile directed at the camera. Her hair features a striking ombré effect, transitioning from deep black roots and face-framing bangs to a vibrant azure blue through the lengths. Modern, stylish glasses frame her eyes, enhancing her facial features. The composition emphasizes high-contrast lighting that accentuates the dimension in her hair color and brings warmth to her expression. Sharp focus on her face creates natural depth of field, with crisp detail in her features that draws attention to her genuine, welcoming smile.", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "16:9", output_format: "jpg", guidance_scale: 2.5, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1.25, num_inference_steps: 35 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun nell696/me-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "nell696/me-lora:059a199e88e9031a017f8f5dccae22c7b25b632cecc1f0e3455febce47885ea8", input={ "model": "dev", "prompt": "Realistic portrait shot of Melly, framed in a dynamic three-quarter view that captures her engaging smile directed at the camera. Her hair features a striking ombré effect, transitioning from deep black roots and face-framing bangs to a vibrant azure blue through the lengths. Modern, stylish glasses frame her eyes, enhancing her facial features. The composition emphasizes high-contrast lighting that accentuates the dimension in her hair color and brings warmth to her expression. Sharp focus on her face creates natural depth of field, with crisp detail in her features that draws attention to her genuine, welcoming smile.", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 2.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1.25, "num_inference_steps": 35 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())To learn more, take a look at the guide on getting started with Python.
Run nell696/me-lora 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": "nell696/me-lora:059a199e88e9031a017f8f5dccae22c7b25b632cecc1f0e3455febce47885ea8", "input": { "model": "dev", "prompt": "Realistic portrait shot of Melly, framed in a dynamic three-quarter view that captures her engaging smile directed at the camera. Her hair features a striking ombré effect, transitioning from deep black roots and face-framing bangs to a vibrant azure blue through the lengths. Modern, stylish glasses frame her eyes, enhancing her facial features. The composition emphasizes high-contrast lighting that accentuates the dimension in her hair color and brings warmth to her expression. Sharp focus on her face creates natural depth of field, with crisp detail in her features that draws attention to her genuine, welcoming smile.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 2.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1.25, "num_inference_steps": 35 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-22T23:48:11.593290Z", "created_at": "2025-01-22T23:48:01.318000Z", "data_removed": false, "error": null, "id": "697w3c3cmsrme0cmj1n8d35nn0", "input": { "model": "dev", "prompt": "Realistic portrait shot of Melly, framed in a dynamic three-quarter view that captures her engaging smile directed at the camera. Her hair features a striking ombré effect, transitioning from deep black roots and face-framing bangs to a vibrant azure blue through the lengths. Modern, stylish glasses frame her eyes, enhancing her facial features. The composition emphasizes high-contrast lighting that accentuates the dimension in her hair color and brings warmth to her expression. Sharp focus on her face creates natural depth of field, with crisp detail in her features that draws attention to her genuine, welcoming smile.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 2.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1.25, "num_inference_steps": 35 }, "logs": "2025-01-22 23:48:01.343 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-22 23:48:01.343 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 284/304 [00:00<00:00, 2829.96it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2629.15it/s]\n2025-01-22 23:48:01.459 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=28671830704128\nDownloading weights\n2025-01-22T23:48:01Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpzrzcr3ku/weights url=https://replicate.delivery/xezq/MESqOALxfs36OqJMef10RtOofpM9v776itIfWlDJGMoI9S8gC/trained_model.tar\n2025-01-22T23:48:03Z | INFO | [ Complete ] dest=/tmp/tmpzrzcr3ku/weights size=\"172 MB\" total_elapsed=2.431s url=https://replicate.delivery/xezq/MESqOALxfs36OqJMef10RtOofpM9v776itIfWlDJGMoI9S8gC/trained_model.tar\nDownloaded weights in 2.46s\n2025-01-22 23:48:03.921 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/a1d50bc44b24adbe\n2025-01-22 23:48:03.995 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-22 23:48:03.995 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-22 23:48:03.996 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 284/304 [00:00<00:00, 2831.56it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2630.93it/s]\n2025-01-22 23:48:04.111 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 37044\n0it [00:00, ?it/s]\n1it [00:00, 8.43it/s]\n2it [00:00, 5.88it/s]\n3it [00:00, 5.38it/s]\n4it [00:00, 5.16it/s]\n5it [00:00, 5.03it/s]\n6it [00:01, 4.93it/s]\n7it [00:01, 4.89it/s]\n8it [00:01, 4.88it/s]\n9it [00:01, 4.86it/s]\n10it [00:01, 4.84it/s]\n11it [00:02, 4.83it/s]\n12it [00:02, 4.82it/s]\n13it [00:02, 4.83it/s]\n14it [00:02, 4.83it/s]\n15it [00:03, 4.81it/s]\n16it [00:03, 4.81it/s]\n17it [00:03, 4.81it/s]\n18it [00:03, 4.81it/s]\n19it [00:03, 4.81it/s]\n20it [00:04, 4.80it/s]\n21it [00:04, 4.81it/s]\n22it [00:04, 4.81it/s]\n23it [00:04, 4.81it/s]\n24it [00:04, 4.81it/s]\n25it [00:05, 4.80it/s]\n26it [00:05, 4.79it/s]\n27it [00:05, 4.79it/s]\n28it [00:05, 4.80it/s]\n29it [00:05, 4.80it/s]\n30it [00:06, 4.80it/s]\n31it [00:06, 4.80it/s]\n32it [00:06, 4.80it/s]\n33it [00:06, 4.80it/s]\n34it [00:06, 4.81it/s]\n35it [00:07, 4.81it/s]\n35it [00:07, 4.87it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 10.249082389, "total_time": 10.27529 }, "output": [ "https://replicate.delivery/xezq/EzMO8cbcKEJQDNJs4jyrYCdLlpJl0zxVIpxSl0xkYl2u18BF/out-0.jpg" ], "started_at": "2025-01-22T23:48:01.344207Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-7vw6u4qs63ojviacf2n76kylckr75g4cnoij5slwkdm6lkltphfq", "get": "https://api.replicate.com/v1/predictions/697w3c3cmsrme0cmj1n8d35nn0", "cancel": "https://api.replicate.com/v1/predictions/697w3c3cmsrme0cmj1n8d35nn0/cancel" }, "version": "059a199e88e9031a017f8f5dccae22c7b25b632cecc1f0e3455febce47885ea8" }Generated in2025-01-22 23:48:01.343 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-22 23:48:01.343 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 93%|█████████▎| 284/304 [00:00<00:00, 2829.96it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2629.15it/s] 2025-01-22 23:48:01.459 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s free=28671830704128 Downloading weights 2025-01-22T23:48:01Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpzrzcr3ku/weights url=https://replicate.delivery/xezq/MESqOALxfs36OqJMef10RtOofpM9v776itIfWlDJGMoI9S8gC/trained_model.tar 2025-01-22T23:48:03Z | INFO | [ Complete ] dest=/tmp/tmpzrzcr3ku/weights size="172 MB" total_elapsed=2.431s url=https://replicate.delivery/xezq/MESqOALxfs36OqJMef10RtOofpM9v776itIfWlDJGMoI9S8gC/trained_model.tar Downloaded weights in 2.46s 2025-01-22 23:48:03.921 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/a1d50bc44b24adbe 2025-01-22 23:48:03.995 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-22 23:48:03.995 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-22 23:48:03.996 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 93%|█████████▎| 284/304 [00:00<00:00, 2831.56it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2630.93it/s] 2025-01-22 23:48:04.111 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s Using seed: 37044 0it [00:00, ?it/s] 1it [00:00, 8.43it/s] 2it [00:00, 5.88it/s] 3it [00:00, 5.38it/s] 4it [00:00, 5.16it/s] 5it [00:00, 5.03it/s] 6it [00:01, 4.93it/s] 7it [00:01, 4.89it/s] 8it [00:01, 4.88it/s] 9it [00:01, 4.86it/s] 10it [00:01, 4.84it/s] 11it [00:02, 4.83it/s] 12it [00:02, 4.82it/s] 13it [00:02, 4.83it/s] 14it [00:02, 4.83it/s] 15it [00:03, 4.81it/s] 16it [00:03, 4.81it/s] 17it [00:03, 4.81it/s] 18it [00:03, 4.81it/s] 19it [00:03, 4.81it/s] 20it [00:04, 4.80it/s] 21it [00:04, 4.81it/s] 22it [00:04, 4.81it/s] 23it [00:04, 4.81it/s] 24it [00:04, 4.81it/s] 25it [00:05, 4.80it/s] 26it [00:05, 4.79it/s] 27it [00:05, 4.79it/s] 28it [00:05, 4.80it/s] 29it [00:05, 4.80it/s] 30it [00:06, 4.80it/s] 31it [00:06, 4.80it/s] 32it [00:06, 4.80it/s] 33it [00:06, 4.80it/s] 34it [00:06, 4.81it/s] 35it [00:07, 4.81it/s] 35it [00:07, 4.87it/s] Total safe images: 1 out of 1
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