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cloneofsimo/hotshot-xl-lora-controlnet:75e26ffd

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
prompt
string
Hi there doggo!
The main prompt that guides the image generation.
negative_prompt
string
A negative prompt to avoid certain features in the generated images.
width
integer
672
The width of the generated images.
height
integer
384
The height of the generated images.
original_width
integer
1920
The width of the `original_size` of images. If `original_size` is not the same as `target_size` the image will appear to be down- or upsampled. `original_size` defaults to `(width, height)` if not specified. Part of SDXL's micro-conditioning as explained in section 2.2 of [https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952).
original_height
integer
1080
The `original_size height` of the images.
target_width
integer
512
The `target_size width` of the images.
target_height
integer
512
The `target_size height` of the images.
steps
integer
30
The number of steps for the prediction.
video_length
integer
8
The length of the video in frames.
video_duration
integer
1000
The duration of the video in milliseconds.
hf_lora_url
string
The URL for LoRA weights.
control_type
string (enum)

Options:

canny, depth

The type of control net to use for conditional generation.
gif
string
Input GIF for controlnet condition.
control_guidance_start
number
0
The start of the control guidance.
control_guidance_end
number
1
The end of the control guidance.
controlnet_conditioning_scale
number
0.7
The scale of the controlnet conditioning.
replicate_weights_url
string
Replicate LoRA weights to use. Leave blank to use the default weights.

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'}