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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
|
a photo of an astronaut riding a unicorn
|
None
|
| negative_prompt |
string
|
ugly, disfigured, low quality, blurry, nsfw
|
The negative prompt to guide image generation.
|
| model |
string
(enum)
|
RealVisXL_V3.0
Options: albedobaseXL_v13, Deliberate_v2, dreamlabsoil_V2_v2, DreamShaper_6.31_BakedVae, dreamshaper_8, dreamshaper_8LCM, juggernautXL_v8Rundiffusion, LCM_Dreamshaper_v7_4k, proteus_v02, RealVisXL_V2.0, RealVisXL_V3.0, Realistic_Vision_V5.1, Realistic_Vision_V6.0_NV_B1_fp16, SSD-1B, sd_xl_base_1.0, starlightXLAnimated_v3, turbovisionxlSuperFastXLBasedOnNew_tvxlV32Bakedvae, v1-5-pruned-emaonly, v2-1_768-ema-pruned |
Pick which base weights you want to use
|
| num_inference_steps |
integer
|
30
Min: 1 Max: 100 |
Number of diffusion steps
|
| guidance_scale |
number
|
7.5
Max: 30 |
Scale for classifier-free guidance
|
| seed |
integer
|
None
|
|
| width |
integer
|
768
|
None
|
| height |
integer
|
768
|
None
|
| num_outputs |
integer
|
1
Min: 1 Max: 10 |
Number of outputs
|
| sampler_name |
string
(enum)
|
euler
Options: euler, euler_ancestral, heun, heunpp2, 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, ddpm, lcm, ddim, uni_pc, uni_pc_bh2 |
An enumeration.
|
| scheduler |
string
(enum)
|
normal
Options: normal, karras, exponential, sgm_uniform, simple, ddim_uniform |
An enumeration.
|
| disable_safety_checker |
boolean
|
False
|
Disable safety checker for generated images.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}