typetext
{
"aspect_ratio": "1:1",
"guidance_scale": 0,
"hf_loras": [
"https://huggingface.co/Octree/flux-schnell-lora/resolve/main/flux-schnell-lora.safetensors",
"https://huggingface.co/hugovntr/flux-schnell-realism/resolve/main/schnell-realism_v1.safetensors"
],
"lora_scales": [
0.8,
0.9
],
"num_inference_steps": 4,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 100,
"prompt": "a beautiful scandinavian girl posing in the mountains, the sun is shining, the grass is green and flowers are everywhere, she is wearing a patterned colorful top. be4u7y",
"prompt_strength": 0.8,
"seed": 43
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_TQU**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run jensbosseparra/flux1-schnell-multi-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"jensbosseparra/flux1-schnell-multi-lora:1af36f429c0be8b88f7f8adfe6e720d9f1ab3b72ab62c78e768d08e91e4c7b68",
{
input: {
aspect_ratio: "1:1",
guidance_scale: 0,
hf_loras: ["https://huggingface.co/Octree/flux-schnell-lora/resolve/main/flux-schnell-lora.safetensors","https://huggingface.co/hugovntr/flux-schnell-realism/resolve/main/schnell-realism_v1.safetensors"],
lora_scales: [0.8,0.9],
num_inference_steps: 4,
num_outputs: 1,
output_format: "webp",
output_quality: 100,
prompt: "a beautiful scandinavian girl posing in the mountains, the sun is shining, the grass is green and flowers are everywhere, she is wearing a patterned colorful top. be4u7y",
prompt_strength: 0.8,
seed: 43
}
}
);
// 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=r8_TQU**********************************
This is your API token. Keep it to yourself.
import replicate
Run jensbosseparra/flux1-schnell-multi-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"jensbosseparra/flux1-schnell-multi-lora:1af36f429c0be8b88f7f8adfe6e720d9f1ab3b72ab62c78e768d08e91e4c7b68",
input={
"aspect_ratio": "1:1",
"guidance_scale": 0,
"hf_loras": ["https://huggingface.co/Octree/flux-schnell-lora/resolve/main/flux-schnell-lora.safetensors","https://huggingface.co/hugovntr/flux-schnell-realism/resolve/main/schnell-realism_v1.safetensors"],
"lora_scales": [0.8,0.9],
"num_inference_steps": 4,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 100,
"prompt": "a beautiful scandinavian girl posing in the mountains, the sun is shining, the grass is green and flowers are everywhere, she is wearing a patterned colorful top. be4u7y",
"prompt_strength": 0.8,
"seed": 43
}
)
# 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=r8_TQU**********************************
This is your API token. Keep it to yourself.
Run jensbosseparra/flux1-schnell-multi-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": "jensbosseparra/flux1-schnell-multi-lora:1af36f429c0be8b88f7f8adfe6e720d9f1ab3b72ab62c78e768d08e91e4c7b68",
"input": {
"aspect_ratio": "1:1",
"guidance_scale": 0,
"hf_loras": ["https://huggingface.co/Octree/flux-schnell-lora/resolve/main/flux-schnell-lora.safetensors","https://huggingface.co/hugovntr/flux-schnell-realism/resolve/main/schnell-realism_v1.safetensors"],
"lora_scales": [0.8,0.9],
"num_inference_steps": 4,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 100,
"prompt": "a beautiful scandinavian girl posing in the mountains, the sun is shining, the grass is green and flowers are everywhere, she is wearing a patterned colorful top. be4u7y",
"prompt_strength": 0.8,
"seed": 43
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "f7rqmrn7q9rj00cjyc9sf4f0wr",
"model": "jensbosseparra/flux1-schnell-multi-lora",
"version": "1af36f429c0be8b88f7f8adfe6e720d9f1ab3b72ab62c78e768d08e91e4c7b68",
"input": {
"aspect_ratio": "1:1",
"guidance_scale": 0,
"hf_loras": [
"https://huggingface.co/Octree/flux-schnell-lora/resolve/main/flux-schnell-lora.safetensors",
"https://huggingface.co/hugovntr/flux-schnell-realism/resolve/main/schnell-realism_v1.safetensors"
],
"lora_scales": [
0.8,
0.9
],
"num_inference_steps": 4,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 100,
"prompt": "a beautiful scandinavian girl posing in the mountains, the sun is shining, the grass is green and flowers are everywhere, she is wearing a patterned colorful top. be4u7y",
"prompt_strength": 0.8,
"seed": 43
},
"logs": "Using seed: 43\nPrompt: a beautiful scandinavian girl posing in the mountains, the sun is shining, the grass is green and flowers are everywhere, she is wearing a patterned colorful top. be4u7y\ntxt2img mode\nDownloading LoRA weights from - HF URL: https://huggingface.co/Octree/flux-schnell-lora/resolve/main/flux-schnell-lora.safetensors\nHuggingFace slug from URL: Octree/flux-schnell-lora, weight name: flux-schnell-lora.safetensors\nLoading LoRA took: 0.68 seconds\nDownloading LoRA weights from - HF URL: https://huggingface.co/hugovntr/flux-schnell-realism/resolve/main/schnell-realism_v1.safetensors\nHuggingFace slug from URL: hugovntr/flux-schnell-realism, weight name: schnell-realism_v1.safetensors\nUnsuppored keys for ai-toolkit: dict_keys(['lora_te1_text_model_encoder_layers_0_mlp_fc1.alpha', 'lora_te1_text_model_encoder_layers_0_mlp_fc1.lora_down.weight', 'lora_te1_text_model_encoder_layers_0_mlp_fc1.lora_up.weight', 'lora_te1_text_model_encoder_layers_0_mlp_fc2.alpha', 'lora_te1_text_model_encoder_layers_0_mlp_fc2.lora_down.weight', 'lora_te1_text_model_encoder_layers_0_mlp_fc2.lora_up.weight', 'lora_te1_text_model_encoder_layers_0_self_attn_k_proj.alpha', 'lora_te1_text_model_encoder_layers_0_self_attn_k_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_0_self_attn_k_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_0_self_attn_out_proj.alpha', 'lora_te1_text_model_encoder_layers_0_self_attn_out_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_0_self_attn_out_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_0_self_attn_q_proj.alpha', 'lora_te1_text_model_encoder_layers_0_self_attn_q_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_0_self_attn_q_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_0_self_attn_v_proj.alpha', 'lora_te1_text_model_encoder_layers_0_self_attn_v_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_0_self_attn_v_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_10_mlp_fc1.alpha', 'lora_te1_text_model_encoder_layers_10_mlp_fc1.lora_down.weight', 'lora_te1_text_model_encoder_layers_10_mlp_fc1.lora_up.weight', 'lora_te1_text_model_encoder_layers_10_mlp_fc2.alpha', 'lora_te1_text_model_encoder_layers_10_mlp_fc2.lora_down.weight', 'lora_te1_text_model_encoder_layers_10_mlp_fc2.lora_up.weight', 'lora_te1_text_model_encoder_layers_10_self_attn_k_proj.alpha', 'lora_te1_text_model_encoder_layers_10_self_attn_k_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_10_self_attn_k_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_10_self_attn_out_proj.alpha', 'lora_te1_text_model_encoder_layers_10_self_attn_out_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_10_self_attn_out_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_10_self_attn_q_proj.alpha', 'lora_te1_text_model_encoder_layers_10_self_attn_q_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_10_self_attn_q_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_10_self_attn_v_proj.alpha', 'lora_te1_text_model_encoder_layers_10_self_attn_v_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_10_self_attn_v_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_11_mlp_fc1.alpha', 'lora_te1_text_model_encoder_layers_11_mlp_fc1.lora_down.weight', 'lora_te1_text_model_encoder_layers_11_mlp_fc1.lora_up.weight', 'lora_te1_text_model_encoder_layers_11_mlp_fc2.alpha', 'lora_te1_text_model_encoder_layers_11_mlp_fc2.lora_down.weight', 'lora_te1_text_model_encoder_layers_11_mlp_fc2.lora_up.weight', 'lora_te1_text_model_encoder_layers_11_self_attn_k_proj.alpha', 'lora_te1_text_model_encoder_layers_11_self_attn_k_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_11_self_attn_k_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_11_self_attn_out_proj.alpha', 'lora_te1_text_model_encoder_layers_11_self_attn_out_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_11_self_attn_out_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_11_self_attn_q_proj.alpha', 'lora_te1_text_model_encoder_layers_11_self_attn_q_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_11_self_attn_q_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_11_self_attn_v_proj.alpha', 'lora_te1_text_model_encoder_layers_11_self_attn_v_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_11_self_attn_v_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_1_mlp_fc1.alpha', 'lora_te1_text_model_encoder_layers_1_mlp_fc1.lora_down.weight', 'lora_te1_text_model_encoder_layers_1_mlp_fc1.lora_up.weight', 'lora_te1_text_model_encoder_layers_1_mlp_fc2.alpha', 'lora_te1_text_model_encoder_layers_1_mlp_fc2.lora_down.weight', 'lora_te1_text_model_encoder_layers_1_mlp_fc2.lora_up.weight', 'lora_te1_text_model_encoder_layers_1_self_attn_k_proj.alpha', 'lora_te1_text_model_encoder_layers_1_self_attn_k_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_1_self_attn_k_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_1_self_attn_out_proj.alpha', 'lora_te1_text_model_encoder_layers_1_self_attn_out_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_1_self_attn_out_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_1_self_attn_q_proj.alpha', 'lora_te1_text_model_encoder_layers_1_self_attn_q_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_1_self_attn_q_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_1_self_attn_v_proj.alpha', 'lora_te1_text_model_encoder_layers_1_self_attn_v_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_1_self_attn_v_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_2_mlp_fc1.alpha', 'lora_te1_text_model_encoder_layers_2_mlp_fc1.lora_down.weight', 'lora_te1_text_model_encoder_layers_2_mlp_fc1.lora_up.weight', 'lora_te1_text_model_encoder_layers_2_mlp_fc2.alpha', 'lora_te1_text_model_encoder_layers_2_mlp_fc2.lora_down.weight', 'lora_te1_text_model_encoder_layers_2_mlp_fc2.lora_up.weight', 'lora_te1_text_model_encoder_layers_2_self_attn_k_proj.alpha', 'lora_te1_text_model_encoder_layers_2_self_attn_k_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_2_self_attn_k_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_2_self_attn_out_proj.alpha', 'lora_te1_text_model_encoder_layers_2_self_attn_out_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_2_self_attn_out_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_2_self_attn_q_proj.alpha', 'lora_te1_text_model_encoder_layers_2_self_attn_q_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_2_self_attn_q_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_2_self_attn_v_proj.alpha', 'lora_te1_text_model_encoder_layers_2_self_attn_v_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_2_self_attn_v_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_3_mlp_fc1.alpha', 'lora_te1_text_model_encoder_layers_3_mlp_fc1.lora_down.weight', 'lora_te1_text_model_encoder_layers_3_mlp_fc1.lora_up.weight', 'lora_te1_text_model_encoder_layers_3_mlp_fc2.alpha', 'lora_te1_text_model_encoder_layers_3_mlp_fc2.lora_down.weight', 'lora_te1_text_model_encoder_layers_3_mlp_fc2.lora_up.weight', 'lora_te1_text_model_encoder_layers_3_self_attn_k_proj.alpha', 'lora_te1_text_model_encoder_layers_3_self_attn_k_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_3_self_attn_k_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_3_self_attn_out_proj.alpha', 'lora_te1_text_model_encoder_layers_3_self_attn_out_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_3_self_attn_out_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_3_self_attn_q_proj.alpha', 'lora_te1_text_model_encoder_layers_3_self_attn_q_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_3_self_attn_q_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_3_self_attn_v_proj.alpha', 'lora_te1_text_model_encoder_layers_3_self_attn_v_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_3_self_attn_v_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_4_mlp_fc1.alpha', 'lora_te1_text_model_encoder_layers_4_mlp_fc1.lora_down.weight', 'lora_te1_text_model_encoder_layers_4_mlp_fc1.lora_up.weight', 'lora_te1_text_model_encoder_layers_4_mlp_fc2.alpha', 'lora_te1_text_model_encoder_layers_4_mlp_fc2.lora_down.weight', 'lora_te1_text_model_encoder_layers_4_mlp_fc2.lora_up.weight', 'lora_te1_text_model_encoder_layers_4_self_attn_k_proj.alpha', 'lora_te1_text_model_encoder_layers_4_self_attn_k_proj.lora_down.weight', 'lora_te1_text_model_encoder_layers_4_self_attn_k_proj.lora_up.weight', 'lora_te1_text_model_encoder_layers_4_self_attn_out_proj.alpha', 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