nhan4890 / solanumprocumbensteabox
- Public
- 9 runs
-
H100
Prediction
nhan4890/solanumprocumbensteabox:1785023311fda09eb3d7b867b43ddce2c5d6cdadfc78e32d6d9dd74816e7edf5ID02d28hjt65rm80ckeyrtb073qrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- An old chinese male farmer holds A horizontal rectangular solanumprocumbensteabox box next to a glass teapot, next to a tea cup with smoke, all set on a marble table, 100% original solanumprocumbensteabox box, directly in front of the box, AMMU brand, country background, with a warm color tone and natural lighting, hyper-realistic style.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "An old chinese male farmer holds A horizontal rectangular solanumprocumbensteabox box next to a glass teapot, next to a tea cup with smoke, all set on a marble table, 100% original solanumprocumbensteabox box, directly in front of the box, AMMU brand, country background, with a warm color tone and natural lighting, hyper-realistic style.\n", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }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 nhan4890/solanumprocumbensteabox using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "nhan4890/solanumprocumbensteabox:1785023311fda09eb3d7b867b43ddce2c5d6cdadfc78e32d6d9dd74816e7edf5", { input: { model: "dev", prompt: "An old chinese male farmer holds A horizontal rectangular solanumprocumbensteabox box next to a glass teapot, next to a tea cup with smoke, all set on a marble table, 100% original solanumprocumbensteabox box, directly in front of the box, AMMU brand, country background, with a warm color tone and natural lighting, hyper-realistic style.\n", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 nhan4890/solanumprocumbensteabox using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "nhan4890/solanumprocumbensteabox:1785023311fda09eb3d7b867b43ddce2c5d6cdadfc78e32d6d9dd74816e7edf5", input={ "model": "dev", "prompt": "An old chinese male farmer holds A horizontal rectangular solanumprocumbensteabox box next to a glass teapot, next to a tea cup with smoke, all set on a marble table, 100% original solanumprocumbensteabox box, directly in front of the box, AMMU brand, country background, with a warm color tone and natural lighting, hyper-realistic style.\n", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run nhan4890/solanumprocumbensteabox 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": "nhan4890/solanumprocumbensteabox:1785023311fda09eb3d7b867b43ddce2c5d6cdadfc78e32d6d9dd74816e7edf5", "input": { "model": "dev", "prompt": "An old chinese male farmer holds A horizontal rectangular solanumprocumbensteabox box next to a glass teapot, next to a tea cup with smoke, all set on a marble table, 100% original solanumprocumbensteabox box, directly in front of the box, AMMU brand, country background, with a warm color tone and natural lighting, hyper-realistic style.\\n", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-29T11:32:22.107880Z", "created_at": "2024-11-29T11:32:11.953000Z", "data_removed": false, "error": null, "id": "02d28hjt65rm80ckeyrtb073qr", "input": { "model": "dev", "prompt": "An old chinese male farmer holds A horizontal rectangular solanumprocumbensteabox box next to a glass teapot, next to a tea cup with smoke, all set on a marble table, 100% original solanumprocumbensteabox box, directly in front of the box, AMMU brand, country background, with a warm color tone and natural lighting, hyper-realistic style.\n", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "2024-11-29 11:32:12.907 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys\n2024-11-29 11:32:12.907 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 283/304 [00:00<00:00, 2825.21it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2679.08it/s]\n2024-11-29 11:32:13.021 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.11s\nfree=29180509270016\nDownloading weights\n2024-11-29T11:32:13Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpd2rc9u9e/weights url=https://replicate.delivery/xezq/FMZJdY8Om1qhC5ljHU3dCRSmjAMVmVu7glDTF8s6iq5UKd9E/trained_model.tar\n2024-11-29T11:32:15Z | INFO | [ Complete ] dest=/tmp/tmpd2rc9u9e/weights size=\"258 MB\" total_elapsed=2.506s url=https://replicate.delivery/xezq/FMZJdY8Om1qhC5ljHU3dCRSmjAMVmVu7glDTF8s6iq5UKd9E/trained_model.tar\nDownloaded weights in 2.53s\n2024-11-29 11:32:15.555 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/eaaa34feb7248794\n2024-11-29 11:32:15.643 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded\n2024-11-29 11:32:15.644 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys\n2024-11-29 11:32:15.644 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 283/304 [00:00<00:00, 2826.67it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2680.31it/s]\n2024-11-29 11:32:15.758 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.2s\nUsing seed: 3661\n0it [00:00, ?it/s]\n1it [00:00, 8.32it/s]\n2it [00:00, 5.86it/s]\n3it [00:00, 5.35it/s]\n4it [00:00, 5.13it/s]\n5it [00:00, 5.02it/s]\n6it [00:01, 4.96it/s]\n7it [00:01, 4.91it/s]\n8it [00:01, 4.88it/s]\n9it [00:01, 4.87it/s]\n10it [00:01, 4.86it/s]\n11it [00:02, 4.85it/s]\n12it [00:02, 4.85it/s]\n13it [00:02, 4.83it/s]\n14it [00:02, 4.84it/s]\n15it [00:03, 4.83it/s]\n16it [00:03, 4.83it/s]\n17it [00:03, 4.83it/s]\n18it [00:03, 4.83it/s]\n19it [00:03, 4.84it/s]\n20it [00:04, 4.83it/s]\n21it [00:04, 4.83it/s]\n22it [00:04, 4.82it/s]\n23it [00:04, 4.81it/s]\n24it [00:04, 4.82it/s]\n25it [00:05, 4.83it/s]\n26it [00:05, 4.83it/s]\n27it [00:05, 4.84it/s]\n28it [00:05, 4.83it/s]\n28it [00:05, 4.90it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 9.20048048, "total_time": 10.15488 }, "output": [ "https://replicate.delivery/xezq/hL4w9g0IZdKCIRflCPtdmH3Sf4yD1QQMUKtFitVBVRcGh11TA/out-0.png" ], "started_at": "2024-11-29T11:32:12.907399Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-pthr7b6d7jr7twpg7qkqsygxblnz5skpft5cu2onojk5iq5r2tcq", "get": "https://api.replicate.com/v1/predictions/02d28hjt65rm80ckeyrtb073qr", "cancel": "https://api.replicate.com/v1/predictions/02d28hjt65rm80ckeyrtb073qr/cancel" }, "version": "1785023311fda09eb3d7b867b43ddce2c5d6cdadfc78e32d6d9dd74816e7edf5" }Generated in2024-11-29 11:32:12.907 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-11-29 11:32:12.907 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 93%|█████████▎| 283/304 [00:00<00:00, 2825.21it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2679.08it/s] 2024-11-29 11:32:13.021 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.11s free=29180509270016 Downloading weights 2024-11-29T11:32:13Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpd2rc9u9e/weights url=https://replicate.delivery/xezq/FMZJdY8Om1qhC5ljHU3dCRSmjAMVmVu7glDTF8s6iq5UKd9E/trained_model.tar 2024-11-29T11:32:15Z | INFO | [ Complete ] dest=/tmp/tmpd2rc9u9e/weights size="258 MB" total_elapsed=2.506s url=https://replicate.delivery/xezq/FMZJdY8Om1qhC5ljHU3dCRSmjAMVmVu7glDTF8s6iq5UKd9E/trained_model.tar Downloaded weights in 2.53s 2024-11-29 11:32:15.555 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/eaaa34feb7248794 2024-11-29 11:32:15.643 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded 2024-11-29 11:32:15.644 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-11-29 11:32:15.644 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 93%|█████████▎| 283/304 [00:00<00:00, 2826.67it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2680.31it/s] 2024-11-29 11:32:15.758 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.2s Using seed: 3661 0it [00:00, ?it/s] 1it [00:00, 8.32it/s] 2it [00:00, 5.86it/s] 3it [00:00, 5.35it/s] 4it [00:00, 5.13it/s] 5it [00:00, 5.02it/s] 6it [00:01, 4.96it/s] 7it [00:01, 4.91it/s] 8it [00:01, 4.88it/s] 9it [00:01, 4.87it/s] 10it [00:01, 4.86it/s] 11it [00:02, 4.85it/s] 12it [00:02, 4.85it/s] 13it [00:02, 4.83it/s] 14it [00:02, 4.84it/s] 15it [00:03, 4.83it/s] 16it [00:03, 4.83it/s] 17it [00:03, 4.83it/s] 18it [00:03, 4.83it/s] 19it [00:03, 4.84it/s] 20it [00:04, 4.83it/s] 21it [00:04, 4.83it/s] 22it [00:04, 4.82it/s] 23it [00:04, 4.81it/s] 24it [00:04, 4.82it/s] 25it [00:05, 4.83it/s] 26it [00:05, 4.83it/s] 27it [00:05, 4.84it/s] 28it [00:05, 4.83it/s] 28it [00:05, 4.90it/s] Total safe images: 1 out of 1Prediction
nhan4890/solanumprocumbensteabox:1785023311fda09eb3d7b867b43ddce2c5d6cdadfc78e32d6d9dd74816e7edf5IDw80d2dn4h5rma0ckeys8bgaj10StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- An old Chinese male holds a horizontal rectangular solanumprocumbensteabox box next to a glass teapot, next to a tea cup with smoke, all set on a marble table, 100% original solanumprocumbensteabox box size, directly in front of the box, AMMU brand, country background, with a warm color tone and natural lighting, hyper-realistic style.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "An old Chinese male holds a horizontal rectangular solanumprocumbensteabox box next to a glass teapot, next to a tea cup with smoke, all set on a marble table, 100% original solanumprocumbensteabox box size, directly in front of the box, AMMU brand, country background, with a warm color tone and natural lighting, hyper-realistic style.\n", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }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 nhan4890/solanumprocumbensteabox using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "nhan4890/solanumprocumbensteabox:1785023311fda09eb3d7b867b43ddce2c5d6cdadfc78e32d6d9dd74816e7edf5", { input: { model: "dev", prompt: "An old Chinese male holds a horizontal rectangular solanumprocumbensteabox box next to a glass teapot, next to a tea cup with smoke, all set on a marble table, 100% original solanumprocumbensteabox box size, directly in front of the box, AMMU brand, country background, with a warm color tone and natural lighting, hyper-realistic style.\n", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 nhan4890/solanumprocumbensteabox using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "nhan4890/solanumprocumbensteabox:1785023311fda09eb3d7b867b43ddce2c5d6cdadfc78e32d6d9dd74816e7edf5", input={ "model": "dev", "prompt": "An old Chinese male holds a horizontal rectangular solanumprocumbensteabox box next to a glass teapot, next to a tea cup with smoke, all set on a marble table, 100% original solanumprocumbensteabox box size, directly in front of the box, AMMU brand, country background, with a warm color tone and natural lighting, hyper-realistic style.\n", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run nhan4890/solanumprocumbensteabox 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": "nhan4890/solanumprocumbensteabox:1785023311fda09eb3d7b867b43ddce2c5d6cdadfc78e32d6d9dd74816e7edf5", "input": { "model": "dev", "prompt": "An old Chinese male holds a horizontal rectangular solanumprocumbensteabox box next to a glass teapot, next to a tea cup with smoke, all set on a marble table, 100% original solanumprocumbensteabox box size, directly in front of the box, AMMU brand, country background, with a warm color tone and natural lighting, hyper-realistic style.\\n", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-29T11:33:43.530013Z", "created_at": "2024-11-29T11:33:36.521000Z", "data_removed": false, "error": null, "id": "w80d2dn4h5rma0ckeys8bgaj10", "input": { "model": "dev", "prompt": "An old Chinese male holds a horizontal rectangular solanumprocumbensteabox box next to a glass teapot, next to a tea cup with smoke, all set on a marble table, 100% original solanumprocumbensteabox box size, directly in front of the box, AMMU brand, country background, with a warm color tone and natural lighting, hyper-realistic style.\n", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "2024-11-29 11:33:36.795 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys\n2024-11-29 11:33:36.795 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 91%|█████████ | 277/304 [00:00<00:00, 2759.85it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2595.27it/s]\n2024-11-29 11:33:36.913 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.12s\n2024-11-29 11:33:36.914 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/eaaa34feb7248794\n2024-11-29 11:33:37.042 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded\n2024-11-29 11:33:37.042 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys\n2024-11-29 11:33:37.042 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 91%|█████████ | 277/304 [00:00<00:00, 2759.47it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2593.86it/s]\n2024-11-29 11:33:37.160 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.25s\nUsing seed: 11707\n0it [00:00, ?it/s]\n1it [00:00, 8.33it/s]\n2it [00:00, 5.84it/s]\n3it [00:00, 5.32it/s]\n4it [00:00, 5.11it/s]\n5it [00:00, 5.00it/s]\n6it [00:01, 4.92it/s]\n7it [00:01, 4.88it/s]\n8it [00:01, 4.85it/s]\n9it [00:01, 4.83it/s]\n10it [00:01, 4.83it/s]\n11it [00:02, 4.82it/s]\n12it [00:02, 4.81it/s]\n13it [00:02, 4.80it/s]\n14it [00:02, 4.80it/s]\n15it [00:03, 4.80it/s]\n16it [00:03, 4.80it/s]\n17it [00:03, 4.80it/s]\n18it [00:03, 4.79it/s]\n19it [00:03, 4.80it/s]\n20it [00:04, 4.79it/s]\n21it [00:04, 4.79it/s]\n22it [00:04, 4.78it/s]\n23it [00:04, 4.78it/s]\n24it [00:04, 4.78it/s]\n25it [00:05, 4.79it/s]\n26it [00:05, 4.80it/s]\n27it [00:05, 4.80it/s]\n28it [00:05, 4.79it/s]\n28it [00:05, 4.87it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 6.734324791, "total_time": 7.009013 }, "output": [ "https://replicate.delivery/xezq/bf6iE1tfzJsg80aQaMopeUR9fZqPgXsHHeBD39Vgzry6SsueE/out-0.png" ], "started_at": "2024-11-29T11:33:36.795688Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-erccvtllz7cbiaa57qyxi2vhul57qxygug3b7r5frvtxallxs5zq", "get": "https://api.replicate.com/v1/predictions/w80d2dn4h5rma0ckeys8bgaj10", "cancel": "https://api.replicate.com/v1/predictions/w80d2dn4h5rma0ckeys8bgaj10/cancel" }, "version": "1785023311fda09eb3d7b867b43ddce2c5d6cdadfc78e32d6d9dd74816e7edf5" }Generated in2024-11-29 11:33:36.795 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-11-29 11:33:36.795 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 91%|█████████ | 277/304 [00:00<00:00, 2759.85it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2595.27it/s] 2024-11-29 11:33:36.913 | SUCCESS | fp8.lora_loading:unload_loras:559 - LoRAs unloaded in 0.12s 2024-11-29 11:33:36.914 | INFO | fp8.lora_loading:convert_lora_weights:493 - Loading LoRA weights for /src/weights-cache/eaaa34feb7248794 2024-11-29 11:33:37.042 | INFO | fp8.lora_loading:convert_lora_weights:514 - LoRA weights loaded 2024-11-29 11:33:37.042 | DEBUG | fp8.lora_loading:apply_lora_to_model:569 - Extracting keys 2024-11-29 11:33:37.042 | DEBUG | fp8.lora_loading:apply_lora_to_model:576 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 91%|█████████ | 277/304 [00:00<00:00, 2759.47it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2593.86it/s] 2024-11-29 11:33:37.160 | SUCCESS | fp8.lora_loading:load_lora:534 - LoRA applied in 0.25s Using seed: 11707 0it [00:00, ?it/s] 1it [00:00, 8.33it/s] 2it [00:00, 5.84it/s] 3it [00:00, 5.32it/s] 4it [00:00, 5.11it/s] 5it [00:00, 5.00it/s] 6it [00:01, 4.92it/s] 7it [00:01, 4.88it/s] 8it [00:01, 4.85it/s] 9it [00:01, 4.83it/s] 10it [00:01, 4.83it/s] 11it [00:02, 4.82it/s] 12it [00:02, 4.81it/s] 13it [00:02, 4.80it/s] 14it [00:02, 4.80it/s] 15it [00:03, 4.80it/s] 16it [00:03, 4.80it/s] 17it [00:03, 4.80it/s] 18it [00:03, 4.79it/s] 19it [00:03, 4.80it/s] 20it [00:04, 4.79it/s] 21it [00:04, 4.79it/s] 22it [00:04, 4.78it/s] 23it [00:04, 4.78it/s] 24it [00:04, 4.78it/s] 25it [00:05, 4.79it/s] 26it [00:05, 4.80it/s] 27it [00:05, 4.80it/s] 28it [00:05, 4.79it/s] 28it [00:05, 4.87it/s] Total safe images: 1 out of 1
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