fofr
/
sdxl-halo-ring
SDXL fine-tuned on the Halo ring
- Public
- 196 runs
-
L40S
- SDXL fine-tune
Prediction
fofr/sdxl-halo-ring:54731324IDa7q2dk3bqfuvtszskxhbguntmeStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @fofrInput
- width
- 1152
- height
- 768
- prompt
- A video game render of a TOK halo ring, low angle
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.9
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 30
{ "width": 1152, "height": 768, "prompt": "A video game render of a TOK halo ring, low angle", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/sdxl-halo-ring using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-halo-ring:547313244f1263d30820606f84b3daa84fa4207a6d7ea3d03a78768a0b24f4d8", { input: { width: 1152, height: 768, prompt: "A video game render of a TOK halo ring, low angle", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.9, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 30 } } ); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun fofr/sdxl-halo-ring using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-halo-ring:547313244f1263d30820606f84b3daa84fa4207a6d7ea3d03a78768a0b24f4d8", input={ "width": 1152, "height": 768, "prompt": "A video game render of a TOK halo ring, low angle", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run fofr/sdxl-halo-ring 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": "547313244f1263d30820606f84b3daa84fa4207a6d7ea3d03a78768a0b24f4d8", "input": { "width": 1152, "height": 768, "prompt": "A video game render of a TOK halo ring, low angle", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-11-03T23:39:09.314248Z", "created_at": "2023-11-03T23:39:02.427899Z", "data_removed": false, "error": null, "id": "a7q2dk3bqfuvtszskxhbguntme", "input": { "width": 1152, "height": 768, "prompt": "A video game render of a TOK halo ring, low angle", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }, "logs": "Using seed: 63376\nskipping loading .. weights already loaded\nPrompt: A video game render of a <s0><s1> halo ring, low angle\ntxt2img mode\n 0%| | 0/21 [00:00<?, ?it/s]\n 5%|▍ | 1/21 [00:00<00:04, 4.36it/s]\n 10%|▉ | 2/21 [00:00<00:04, 4.34it/s]\n 14%|█▍ | 3/21 [00:00<00:04, 4.33it/s]\n 19%|█▉ | 4/21 [00:00<00:03, 4.33it/s]\n 24%|██▍ | 5/21 [00:01<00:03, 4.32it/s]\n 29%|██▊ | 6/21 [00:01<00:03, 4.31it/s]\n 33%|███▎ | 7/21 [00:01<00:03, 4.31it/s]\n 38%|███▊ | 8/21 [00:01<00:03, 4.31it/s]\n 43%|████▎ | 9/21 [00:02<00:02, 4.31it/s]\n 48%|████▊ | 10/21 [00:02<00:02, 4.30it/s]\n 52%|█████▏ | 11/21 [00:02<00:02, 4.30it/s]\n 57%|█████▋ | 12/21 [00:02<00:02, 4.31it/s]\n 62%|██████▏ | 13/21 [00:03<00:01, 4.30it/s]\n 67%|██████▋ | 14/21 [00:03<00:01, 4.30it/s]\n 71%|███████▏ | 15/21 [00:03<00:01, 4.31it/s]\n 76%|███████▌ | 16/21 [00:03<00:01, 4.32it/s]\n 81%|████████ | 17/21 [00:03<00:00, 4.32it/s]\n 86%|████████▌ | 18/21 [00:04<00:00, 4.32it/s]\n 90%|█████████ | 19/21 [00:04<00:00, 4.32it/s]\n 95%|█████████▌| 20/21 [00:04<00:00, 4.33it/s]\n100%|██████████| 21/21 [00:04<00:00, 4.33it/s]\n100%|██████████| 21/21 [00:04<00:00, 4.32it/s]\n 0%| | 0/3 [00:00<?, ?it/s]\n 33%|███▎ | 1/3 [00:00<00:00, 5.52it/s]\n 67%|██████▋ | 2/3 [00:00<00:00, 5.50it/s]\n100%|██████████| 3/3 [00:00<00:00, 5.48it/s]\n100%|██████████| 3/3 [00:00<00:00, 5.49it/s]", "metrics": { "predict_time": 6.96607, "total_time": 6.886349 }, "output": [ "https://replicate.delivery/pbxt/ofeetXiSOemG2QKD1JypP9QFXWko3TfIclR6QyjFBgkhTbmOC/out-0.png" ], "started_at": "2023-11-03T23:39:02.348178Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/a7q2dk3bqfuvtszskxhbguntme", "cancel": "https://api.replicate.com/v1/predictions/a7q2dk3bqfuvtszskxhbguntme/cancel" }, "version": "547313244f1263d30820606f84b3daa84fa4207a6d7ea3d03a78768a0b24f4d8" }Generated inUsing seed: 63376 skipping loading .. weights already loaded Prompt: A video game render of a <s0><s1> halo ring, low angle txt2img mode 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:04, 4.36it/s] 10%|▉ | 2/21 [00:00<00:04, 4.34it/s] 14%|█▍ | 3/21 [00:00<00:04, 4.33it/s] 19%|█▉ | 4/21 [00:00<00:03, 4.33it/s] 24%|██▍ | 5/21 [00:01<00:03, 4.32it/s] 29%|██▊ | 6/21 [00:01<00:03, 4.31it/s] 33%|███▎ | 7/21 [00:01<00:03, 4.31it/s] 38%|███▊ | 8/21 [00:01<00:03, 4.31it/s] 43%|████▎ | 9/21 [00:02<00:02, 4.31it/s] 48%|████▊ | 10/21 [00:02<00:02, 4.30it/s] 52%|█████▏ | 11/21 [00:02<00:02, 4.30it/s] 57%|█████▋ | 12/21 [00:02<00:02, 4.31it/s] 62%|██████▏ | 13/21 [00:03<00:01, 4.30it/s] 67%|██████▋ | 14/21 [00:03<00:01, 4.30it/s] 71%|███████▏ | 15/21 [00:03<00:01, 4.31it/s] 76%|███████▌ | 16/21 [00:03<00:01, 4.32it/s] 81%|████████ | 17/21 [00:03<00:00, 4.32it/s] 86%|████████▌ | 18/21 [00:04<00:00, 4.32it/s] 90%|█████████ | 19/21 [00:04<00:00, 4.32it/s] 95%|█████████▌| 20/21 [00:04<00:00, 4.33it/s] 100%|██████████| 21/21 [00:04<00:00, 4.33it/s] 100%|██████████| 21/21 [00:04<00:00, 4.32it/s] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:00, 5.52it/s] 67%|██████▋ | 2/3 [00:00<00:00, 5.50it/s] 100%|██████████| 3/3 [00:00<00:00, 5.48it/s] 100%|██████████| 3/3 [00:00<00:00, 5.49it/s]Prediction
fofr/sdxl-halo-ring:54731324IDzvgermdbmzxjsv47j3dc4mbkqyStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- image
- width
- 1152
- height
- 768
- prompt
- An epic landscape photo of a TOK halo ring, low angle, mountains, sunset
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 4
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.9
- negative_prompt
- video game render
- prompt_strength
- 0.68
- num_inference_steps
- 30
{ "image": "https://replicate.delivery/pbxt/JobaJd8nIXAcOEq8rN8MLP25j4yvFiV2gkafPVD0aMIs6ZYo/out-0-52.png", "width": 1152, "height": 768, "prompt": "An epic landscape photo of a TOK halo ring, low angle, mountains, sunset", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "video game render", "prompt_strength": 0.68, "num_inference_steps": 30 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/sdxl-halo-ring using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-halo-ring:547313244f1263d30820606f84b3daa84fa4207a6d7ea3d03a78768a0b24f4d8", { input: { image: "https://replicate.delivery/pbxt/JobaJd8nIXAcOEq8rN8MLP25j4yvFiV2gkafPVD0aMIs6ZYo/out-0-52.png", width: 1152, height: 768, prompt: "An epic landscape photo of a TOK halo ring, low angle, mountains, sunset", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 4, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.9, negative_prompt: "video game render", prompt_strength: 0.68, num_inference_steps: 30 } } ); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun fofr/sdxl-halo-ring using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-halo-ring:547313244f1263d30820606f84b3daa84fa4207a6d7ea3d03a78768a0b24f4d8", input={ "image": "https://replicate.delivery/pbxt/JobaJd8nIXAcOEq8rN8MLP25j4yvFiV2gkafPVD0aMIs6ZYo/out-0-52.png", "width": 1152, "height": 768, "prompt": "An epic landscape photo of a TOK halo ring, low angle, mountains, sunset", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.9, "negative_prompt": "video game render", "prompt_strength": 0.68, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run fofr/sdxl-halo-ring 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": "547313244f1263d30820606f84b3daa84fa4207a6d7ea3d03a78768a0b24f4d8", "input": { "image": "https://replicate.delivery/pbxt/JobaJd8nIXAcOEq8rN8MLP25j4yvFiV2gkafPVD0aMIs6ZYo/out-0-52.png", "width": 1152, "height": 768, "prompt": "An epic landscape photo of a TOK halo ring, low angle, mountains, sunset", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "video game render", "prompt_strength": 0.68, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-11-03T23:49:07.289354Z", "created_at": "2023-11-03T23:48:45.008845Z", "data_removed": false, "error": null, "id": "zvgermdbmzxjsv47j3dc4mbkqy", "input": { "image": "https://replicate.delivery/pbxt/JobaJd8nIXAcOEq8rN8MLP25j4yvFiV2gkafPVD0aMIs6ZYo/out-0-52.png", "width": 1152, "height": 768, "prompt": "An epic landscape photo of a TOK halo ring, low angle, mountains, sunset", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "video game render", "prompt_strength": 0.68, "num_inference_steps": 30 }, "logs": "Using seed: 47633\nEnsuring enough disk space...\nFree disk space: 1499370766336\nDownloading weights: https://replicate.delivery/pbxt/fk1MISGQ7k0RQC52whA6SsEGU4KTfneaSdaWES4fdgUkaNTHB/trained_model.tar\nb'Downloaded 186 MB bytes in 0.661s (281 MB/s)\\nExtracted 186 MB in 0.051s (3.6 GB/s)\\n'\nDownloaded weights in 0.8109667301177979 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: An epic landscape photo of a <s0><s1> halo ring, low angle, mountains, sunset\nimg2img mode\n 0%| | 0/11 [00:00<?, ?it/s]\n 9%|▉ | 1/11 [00:00<00:08, 1.11it/s]\n 18%|█▊ | 2/11 [00:01<00:08, 1.11it/s]\n 27%|██▋ | 3/11 [00:02<00:07, 1.11it/s]\n 36%|███▋ | 4/11 [00:03<00:06, 1.11it/s]\n 45%|████▌ | 5/11 [00:04<00:05, 1.12it/s]\n 55%|█████▍ | 6/11 [00:05<00:04, 1.12it/s]\n 64%|██████▎ | 7/11 [00:06<00:03, 1.12it/s]\n 73%|███████▎ | 8/11 [00:07<00:02, 1.12it/s]\n 82%|████████▏ | 9/11 [00:08<00:01, 1.12it/s]\n 91%|█████████ | 10/11 [00:08<00:00, 1.12it/s]\n100%|██████████| 11/11 [00:09<00:00, 1.12it/s]\n100%|██████████| 11/11 [00:09<00:00, 1.12it/s]\n 0%| | 0/3 [00:00<?, ?it/s]\n 33%|███▎ | 1/3 [00:00<00:01, 1.37it/s]\n 67%|██████▋ | 2/3 [00:01<00:00, 1.36it/s]\n100%|██████████| 3/3 [00:02<00:00, 1.36it/s]\n100%|██████████| 3/3 [00:02<00:00, 1.36it/s]", "metrics": { "predict_time": 19.910318, "total_time": 22.280509 }, "output": [ "https://replicate.delivery/pbxt/87ioKavc1M6tL9xOIKZUaffokefiiheWZtdv4YBeUB8C84MdE/out-0.png", "https://replicate.delivery/pbxt/v1OrY332jQaJKth2yUY6uY2LurX4eGzg67pORiFrTvr4xZ6IA/out-1.png", "https://replicate.delivery/pbxt/WlzuF687QCLFLl1Ki3Mvf7ekfoklNSTL1n0xMjQVikJkHnpjA/out-2.png", "https://replicate.delivery/pbxt/u8UF43OaqgqhDZjegsv9VOEO14OyheTv1uXJoJH5CevlHnpjA/out-3.png" ], "started_at": "2023-11-03T23:48:47.379036Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/zvgermdbmzxjsv47j3dc4mbkqy", "cancel": "https://api.replicate.com/v1/predictions/zvgermdbmzxjsv47j3dc4mbkqy/cancel" }, "version": "547313244f1263d30820606f84b3daa84fa4207a6d7ea3d03a78768a0b24f4d8" }Generated inUsing seed: 47633 Ensuring enough disk space... Free disk space: 1499370766336 Downloading weights: https://replicate.delivery/pbxt/fk1MISGQ7k0RQC52whA6SsEGU4KTfneaSdaWES4fdgUkaNTHB/trained_model.tar b'Downloaded 186 MB bytes in 0.661s (281 MB/s)\nExtracted 186 MB in 0.051s (3.6 GB/s)\n' Downloaded weights in 0.8109667301177979 seconds Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: An epic landscape photo of a <s0><s1> halo ring, low angle, mountains, sunset img2img mode 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:08, 1.11it/s] 18%|█▊ | 2/11 [00:01<00:08, 1.11it/s] 27%|██▋ | 3/11 [00:02<00:07, 1.11it/s] 36%|███▋ | 4/11 [00:03<00:06, 1.11it/s] 45%|████▌ | 5/11 [00:04<00:05, 1.12it/s] 55%|█████▍ | 6/11 [00:05<00:04, 1.12it/s] 64%|██████▎ | 7/11 [00:06<00:03, 1.12it/s] 73%|███████▎ | 8/11 [00:07<00:02, 1.12it/s] 82%|████████▏ | 9/11 [00:08<00:01, 1.12it/s] 91%|█████████ | 10/11 [00:08<00:00, 1.12it/s] 100%|██████████| 11/11 [00:09<00:00, 1.12it/s] 100%|██████████| 11/11 [00:09<00:00, 1.12it/s] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.37it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.36it/s] 100%|██████████| 3/3 [00:02<00:00, 1.36it/s] 100%|██████████| 3/3 [00:02<00:00, 1.36it/s]
Want to make some of these yourself?
Run this model