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sontungpytn /comfyui-lora-upscaler:1e6a8b5f
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
|
(best quality, masterpiece:1.2), (freckles:0.8), 1girl, solo, happy, smile, closed mouth, desktop wallpaper, wallpaper, ultra-detailed, sitting
|
Positive Prompt
|
| negative_prompt |
string
|
(worst quality, low quality:1.4), cropped, monochrome, zombie, bad anatomy, (((mutation)))), EasyNegative, badquality-embedding, bad face, simple background
|
Negative Prompt
|
| character |
string
|
raidenshogundef
|
Character
|
| upscaler_model |
string
(enum)
|
RealESRGAN_x4plus_anime_6B
Options: 4x-UltraSharp, RealESRGAN_x4plus_anime_6B |
Upscaler
|
| seed |
integer
|
Sampling seed, leave Empty for Random
|
|
| num_inference_steps |
integer
|
20
|
Steps
|
| guidance_scale |
number
|
8
|
CFG
|
| sampler_name |
string
(enum)
|
euler
Options: euler, euler_ancestral, heun, dpm_2, dpm_2_ancestral, lms, dpm_fast, dpm_adaptive, dpmpp_2s_ancestral, dpmpp_sde, dpmpp_sde_gpu, dpmpp_2m, dpmpp_2m_sde, dpmpp_2m_sde_gpu, dpmpp_3m_sde, dpmpp_3m_sde_gpu, dpmpp, ddim, uni_pc, uni_pc_bh2 |
Sampler
|
| scheduler |
string
(enum)
|
karras
Options: normal, karras, exponential, sgm_uniform, simple, ddim_uniform |
Scheduler
|
| denoise |
number
|
1
|
Denoise
|
| width |
integer
|
512
|
Width
|
| height |
integer
|
512
|
Height
|
| image_num |
integer
|
1
|
Number of output image
|
| model_name |
string
(enum)
|
meinamix_meinaV11.safetensors
Options: meinamix_meinaV11.safetensors, divineelegancemix_V9.safetensors |
Checkpoint model
|
| lora_url |
string
|
LoRA URLs. Can be safetensors format.
|
|
| rescale_factor |
integer
(enum)
|
1
Options: 1, 2, 4 |
Rescale Factor
|
| model_url |
string
|
|
model url. Can be safetensors format.
|
| image_input |
string
|
Input image
|
|
| dw_preprocessor_config |
string
|
{}
|
open pose controlnet preprocessor config, JSON string
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'title': 'Output'}