Readme
This model doesn't have a readme.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run zelenioncode/dreambooth_sdxl 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": "zelenioncode/dreambooth_sdxl:e90767fffa851f984703defc193b1861d3b6d79acbcf1a798a3b9a1dac0bc176",
"input": {
"vae": "stabilityai/sdxl-vae",
"input": "https://huggingface.co/WGlint/SafetensorsFromReplicate/resolve/main/input.zip",
"gender": "woman",
"xformers": true,
"class_reg": "",
"full_fp16": true,
"model_sdxl": "Stable Diffusion XL",
"name_model": "Dreambooth_sdxl",
"resolution": "1024,1024",
"no_half_vae": true,
"warmup_init": false,
"lr_scheduler": "constant",
"mem_eff_attn": true,
"noise_offset": 0,
"repeat_input": 100,
"weight_decay": 0.01,
"cache_latents": true,
"learning_rate": 0.00001,
"max_grad_norm": 0,
"relative_step": false,
"use_class_reg": false,
"optimizer_type": "AdaFactor",
"save_precision": "fp16",
"max_train_steps": 3000,
"mixed_precision": "fp16",
"scale_parameter": false,
"repeat_class_reg": 1,
"train_batch_size": 1,
"bucket_no_upscale": true,
"bucket_reso_steps": 64,
"learning_rate_te1": 0.00001,
"learning_rate_te2": 0.00001,
"token_huggingface": "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",
"folder_huggingface": "",
"save_every_n_steps": 1,
"train_text_encoder": true,
"repo_id_huggingface": "WGlint/SafetensorsFromReplicate",
"save_every_n_epochs": 1,
"send_to_huggingface": false,
"cache_latents_to_disk": true,
"gradient_checkpointing": true,
"learning_rate_te1_bool": 0.000003,
"learning_rate_te2_bool": 0,
"lr_scheduler_num_cycles": 1,
"max_data_loader_n_workers": 0,
"num_cpu_threads_per_process": 4
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
No output yet! Press "Submit" to start a prediction.
This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.