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zenaivn /lora-flux:74912292

Input schema

The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.

Field Type Default value Description
train_lora_flux
boolean
False
Whether to train lora flux
infer_lora_flux
boolean
True
Whether to infer with lora flux
lora_replicate_link
string
(Optional) Enter your lora replicate link for inference. In case you don't have your own, here is a test link: https://replicate.delivery/pbxt/mu6jfnIIdQWIMKpBXRX3AkRltbjmwEX7kERNInQptcSM3VIJA/output.zip
class_name
string
Specify the class name (for example: man/woman/style/...).
identifier
string
ohwx
Unique identifier for the model instance.
output_name
string
Name of the model's output file. (for example: output_model)
instance_data
string
A ZIP file containing your training images (JPG, PNG, etc. size not restricted). These images contain your 'subject' that you want the trained model to embed in the output domain for later generating customized scenes beyond the training images. For best results, use images without noise or unrelated objects in the background.
lr_scheduler
None
cosine
The scheduler type to use. For training LoRA, use constant
num_repeats
integer
1
num_repeast instance image
prompt
string
a professional photo portrait of ohwx woman
Input prompt
negative_prompt
string
nude, old, wrinkles, mole, blemish, scar, cg, 3d
Specify things to not see in the output
weight_prompting
boolean
True
Choose if you want to use weight_prompting.
width
None
512
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height
None
640
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
num_inference_steps
integer
30

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
3.5

Min: 1

Max: 20

Scale for classifier-free guidance
scheduler
None
DPMSolverMultistep
Choose a scheduler.
seed
integer
1337
Your seed for training script.

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}