Prediction
felixyifeiwang/eom-phase3:d55affc8a11f3372bc49b64dcb12127a38915c104f03d52ab0f58761daedc950Input
- width
- 1024
- height
- 1024
- prompt
- a full-body TOK game character, cyberpunk neon girl holding a Gatling, empty background
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- out of frame, mutated, deformed, extras, sprites
- prompt_strength
- 0.8
- num_inference_steps
- 50
{
"width": 1024,
"height": 1024,
"prompt": "a full-body TOK game character, cyberpunk neon girl holding a Gatling, empty background",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"negative_prompt": "out of frame, mutated, deformed, extras, sprites",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run felixyifeiwang/eom-phase3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"felixyifeiwang/eom-phase3:d55affc8a11f3372bc49b64dcb12127a38915c104f03d52ab0f58761daedc950",
{
input: {
width: 1024,
height: 1024,
prompt: "a full-body TOK game character, cyberpunk neon girl holding a Gatling, empty background",
refine: "no_refiner",
scheduler: "K_EULER",
lora_scale: 0.6,
num_outputs: 1,
guidance_scale: 7.5,
apply_watermark: true,
high_noise_frac: 0.8,
negative_prompt: "out of frame, mutated, deformed, extras, sprites",
prompt_strength: 0.8,
num_inference_steps: 50
}
}
);
// 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.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run felixyifeiwang/eom-phase3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"felixyifeiwang/eom-phase3:d55affc8a11f3372bc49b64dcb12127a38915c104f03d52ab0f58761daedc950",
input={
"width": 1024,
"height": 1024,
"prompt": "a full-body TOK game character, cyberpunk neon girl holding a Gatling, empty background",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": True,
"high_noise_frac": 0.8,
"negative_prompt": "out of frame, mutated, deformed, extras, sprites",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
)
# 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.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run felixyifeiwang/eom-phase3 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": "felixyifeiwang/eom-phase3:d55affc8a11f3372bc49b64dcb12127a38915c104f03d52ab0f58761daedc950",
"input": {
"width": 1024,
"height": 1024,
"prompt": "a full-body TOK game character, cyberpunk neon girl holding a Gatling, empty background",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"negative_prompt": "out of frame, mutated, deformed, extras, sprites",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
}' \
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.
Run this to download the model and run it in your local environment:
cog predict r8.im/felixyifeiwang/eom-phase3@sha256:d55affc8a11f3372bc49b64dcb12127a38915c104f03d52ab0f58761daedc950 \
-i 'width=1024' \
-i 'height=1024' \
-i 'prompt="a full-body TOK game character, cyberpunk neon girl holding a Gatling, empty background"' \
-i 'refine="no_refiner"' \
-i 'scheduler="K_EULER"' \
-i 'lora_scale=0.6' \
-i 'num_outputs=1' \
-i 'guidance_scale=7.5' \
-i 'apply_watermark=true' \
-i 'high_noise_frac=0.8' \
-i 'negative_prompt="out of frame, mutated, deformed, extras, sprites"' \
-i 'prompt_strength=0.8' \
-i 'num_inference_steps=50'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/felixyifeiwang/eom-phase3@sha256:d55affc8a11f3372bc49b64dcb12127a38915c104f03d52ab0f58761daedc950
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "width": 1024, "height": 1024, "prompt": "a full-body TOK game character, cyberpunk neon girl holding a Gatling, empty background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "out of frame, mutated, deformed, extras, sprites", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{
"completed_at": "2024-07-22T04:16:56.122012Z",
"created_at": "2024-07-22T04:16:38.957000Z",
"data_removed": false,
"error": null,
"id": "zd2er8705nrgm0cgv2krb65w8r",
"input": {
"width": 1024,
"height": 1024,
"prompt": "a full-body TOK game character, cyberpunk neon girl holding a Gatling, empty background",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"negative_prompt": "out of frame, mutated, deformed, extras, sprites",
"prompt_strength": 0.8,
"num_inference_steps": 50
},
"logs": "Using seed: 65356\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: a full-body <s0><s1> game character, cyberpunk neon girl holding a Gatling, empty background\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:11, 4.16it/s]\n 4%|▍ | 2/50 [00:00<00:11, 4.22it/s]\n 6%|▌ | 3/50 [00:00<00:11, 4.24it/s]\n 8%|▊ | 4/50 [00:00<00:10, 4.25it/s]\n 10%|█ | 5/50 [00:01<00:10, 4.25it/s]\n 12%|█▏ | 6/50 [00:01<00:10, 4.25it/s]\n 14%|█▍ | 7/50 [00:01<00:10, 4.25it/s]\n 16%|█▌ | 8/50 [00:01<00:09, 4.25it/s]\n 18%|█▊ | 9/50 [00:02<00:09, 4.25it/s]\n 20%|██ | 10/50 [00:02<00:09, 4.25it/s]\n 22%|██▏ | 11/50 [00:02<00:09, 4.25it/s]\n 24%|██▍ | 12/50 [00:02<00:08, 4.25it/s]\n 26%|██▌ | 13/50 [00:03<00:08, 4.25it/s]\n 28%|██▊ | 14/50 [00:03<00:08, 4.25it/s]\n 30%|███ | 15/50 [00:03<00:08, 4.25it/s]\n 32%|███▏ | 16/50 [00:03<00:07, 4.25it/s]\n 34%|███▍ | 17/50 [00:04<00:07, 4.26it/s]\n 36%|███▌ | 18/50 [00:04<00:07, 4.26it/s]\n 38%|███▊ | 19/50 [00:04<00:07, 4.27it/s]\n 40%|████ | 20/50 [00:04<00:07, 4.27it/s]\n 42%|████▏ | 21/50 [00:04<00:06, 4.27it/s]\n 44%|████▍ | 22/50 [00:05<00:06, 4.27it/s]\n 46%|████▌ | 23/50 [00:05<00:06, 4.27it/s]\n 48%|████▊ | 24/50 [00:05<00:06, 4.27it/s]\n 50%|█████ | 25/50 [00:05<00:05, 4.27it/s]\n 52%|█████▏ | 26/50 [00:06<00:05, 4.26it/s]\n 54%|█████▍ | 27/50 [00:06<00:05, 4.26it/s]\n 56%|█████▌ | 28/50 [00:06<00:05, 4.26it/s]\n 58%|█████▊ | 29/50 [00:06<00:04, 4.26it/s]\n 60%|██████ | 30/50 [00:07<00:04, 4.26it/s]\n 62%|██████▏ | 31/50 [00:07<00:04, 4.26it/s]\n 64%|██████▍ | 32/50 [00:07<00:04, 4.26it/s]\n 66%|██████▌ | 33/50 [00:07<00:03, 4.26it/s]\n 68%|██████▊ | 34/50 [00:07<00:03, 4.26it/s]\n 70%|███████ | 35/50 [00:08<00:03, 4.26it/s]\n 72%|███████▏ | 36/50 [00:08<00:03, 4.26it/s]\n 74%|███████▍ | 37/50 [00:08<00:03, 4.26it/s]\n 76%|███████▌ | 38/50 [00:08<00:02, 4.26it/s]\n 78%|███████▊ | 39/50 [00:09<00:02, 4.26it/s]\n 80%|████████ | 40/50 [00:09<00:02, 4.26it/s]\n 82%|████████▏ | 41/50 [00:09<00:02, 4.26it/s]\n 84%|████████▍ | 42/50 [00:09<00:01, 4.26it/s]\n 86%|████████▌ | 43/50 [00:10<00:01, 4.26it/s]\n 88%|████████▊ | 44/50 [00:10<00:01, 4.26it/s]\n 90%|█████████ | 45/50 [00:10<00:01, 4.26it/s]\n 92%|█████████▏| 46/50 [00:10<00:00, 4.26it/s]\n 94%|█████████▍| 47/50 [00:11<00:00, 4.26it/s]\n 96%|█████████▌| 48/50 [00:11<00:00, 4.26it/s]\n 98%|█████████▊| 49/50 [00:11<00:00, 4.26it/s]\n100%|██████████| 50/50 [00:11<00:00, 4.26it/s]\n100%|██████████| 50/50 [00:11<00:00, 4.26it/s]",
"metrics": {
"predict_time": 15.231652709,
"total_time": 17.165012
},
"output": [
"https://replicate.delivery/pbxt/5FUHDd6zvbYQOV1fRfh7I6vnE2PpgPpPNmrpjlMKUh4484KTA/out-0.png"
],
"started_at": "2024-07-22T04:16:40.890359Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/zd2er8705nrgm0cgv2krb65w8r",
"cancel": "https://api.replicate.com/v1/predictions/zd2er8705nrgm0cgv2krb65w8r/cancel"
},
"version": "d55affc8a11f3372bc49b64dcb12127a38915c104f03d52ab0f58761daedc950"
}
Using seed: 65356
Loading fine-tuned model
Does not have Unet. assume we are using LoRA
Loading Unet LoRA
Prompt: a full-body <s0><s1> game character, cyberpunk neon girl holding a Gatling, empty background
txt2img mode
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