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nightmareai /disco-diffusion:cd8c0ad0
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 |
|---|---|---|---|
| steps |
integer
|
100
|
Number of steps
|
| prompt |
string
|
A beautiful painting of a singular lighthouse, shining its light across a tumultuous sea of blood by greg rutkowski and thomas kinkade, Trending on artstation.
|
Text Prompt
|
| ViTB32 |
boolean
|
True
|
Use ViTB32 model
|
| ViTB16 |
boolean
|
True
|
Use ViTB16 model
|
| ViTL14 |
boolean
|
False
|
Use ViTB14 model
|
| ViTL14_336 |
boolean
|
False
|
Use ViTL14_336 model
|
| RN50 |
boolean
|
True
|
Use RN50 model
|
| RN50x4 |
boolean
|
False
|
Use RN50x4 model
|
| RN50x16 |
boolean
|
False
|
Use RN50x16 model
|
| RN50x64 |
boolean
|
False
|
Use RN50x64 model
|
| RN50x101 |
boolean
|
False
|
Use RN50x101 model
|
| diffusion_model |
string
(enum)
|
512x512_diffusion_uncond_finetune_008100
Options: 512x512_diffusion_uncond_finetune_008100, 256x256_diffusion_uncond, pixel_art_diffusion_hard_256, pixel_art_diffusion_soft_256, 256x256_openai_comics_faces_by_alex_spirin_084000, lsun_uncond_100M_1200K_bs128 |
Diffusion Model
|
| use_secondary_model |
boolean
|
True
|
Use secondary model
|
| diffusion_sampling_mode |
string
(enum)
|
ddim
Options: plms, ddim |
Diffusion Sampling Mode
|
| width |
integer
|
1280
|
Width
|
| height |
integer
|
768
|
Height
|
| clip_guidance_scale |
integer
|
5000
|
CLIP Guidance Scale
|
| tv_scale |
integer
|
0
|
TV Scale
|
| range_scale |
integer
|
150
|
Range Scale
|
| sat_scale |
integer
|
0
|
Saturation Scale
|
| cutn_batches |
integer
|
4
|
Cut Batches
|
| skip_augs |
boolean
|
False
|
Skip Augmentations
|
| init_image |
string
|
Init Image
|
|
| target_image |
string
|
Target Image
|
|
| init_scale |
integer
|
1000
|
Init Scale
|
| target_scale |
integer
|
20000
|
Target Scale
|
| skip_steps |
integer
|
10
|
Skip Steps
|
| seed |
integer
|
Max: 4294967295 |
Seed (leave empty to use a random seed)
|
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',
'x-cog-array-type': 'iterator'}