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fofr /sd3-explorer:a9f4aebd

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
This prompt is ignored when using the triple prompt mode. See below.
model
string (enum)
sd3_medium_incl_clips_t5xxlfp16.safetensors

Options:

sd3_medium_incl_clips.safetensors, sd3_medium_incl_clips_t5xxlfp16.safetensors, sd3_medium_incl_clips_t5xxlfp8.safetensors

Pick whether to use T5-XXL in fp16, fp8 or not at all. We recommend fp16 for this model as it has the best image quality. When running locally we recommend fp8 for lower memory usage. We've included all versions here for exploration.
width
integer
1024
The width of the image (best output at ~1 megapixel. Resolution must be divisible by 64)
height
integer
1024
The height of the image (best output at ~1 megapixel. Resolution must be divisible by 64)
steps
integer
28
The number of steps to run the model for (more steps = better image but slower generation. Best results for this model are around 26 to 36 steps.)
sampler
string (enum)
dpmpp_2m

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

The sampler to use (used to manage noise)
scheduler
string (enum)
sgm_uniform

Options:

normal, karras, exponential, sgm_uniform, simple, ddim_uniform

The scheduler to use (used to manage noise; do not use karras)
shift
number
3

Max: 20

The timestep scheduling shift; shift values higher than 1.0 are better at managing noise in higher resolutions. Try values 6.0 and 2.0 to experiment with effects.
guidance_scale
number
3.5

Max: 20

The guidance scale tells the model how similar the output should be to the prompt. (Recommend between 3.5 and 4.5; if images look 'burnt,' lower the value.)
number_of_images
integer
1

Min: 1

Max: 10

The number of images to generate
use_triple_prompt
boolean
False
None
triple_prompt_clip_g
string
The prompt that will be passed to just the CLIP-G model.
triple_prompt_clip_l
string
The prompt that will be passed to just the CLIP-L model.
triple_prompt_t5
string
The prompt that will be passed to just the T5-XXL model.
triple_prompt_empty_padding
boolean
True
Whether to add padding for empty prompts. Useful if you only want to pass a prompt to one or two of the three text encoders. Has no effect when all prompts are filled. Disable this for interesting effects.
negative_prompt
string
Negative prompts do not really work in SD3. This will simply cause your output image to vary in unpredictable ways.
negative_conditioning_end
number
0

Max: 1

When the negative conditioning should stop being applied. By default it is disabled. If you want to try a negative prompt, start with a value of 0.1
output_format
string (enum)
webp

Options:

webp, jpg, png

Format of the output images
output_quality
integer
80

Max: 100

Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.
seed
integer
Set a seed for reproducibility. Random by default.

Output schema

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

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