terminus-lite-base-v1
This is a full rank finetune derived from segmind/SSD-1B.
The main validation prompt used during training was:
a cute anime character named toast
Validation settings
- CFG:
7.5
- CFG Rescale:
0.7
- Steps:
30
- Sampler:
euler
- Seed:
420420420
- Resolutions:
1024x1024,1152x960,896x1152
Note: The validation settings are not necessarily the same as the training settings.
The text encoder was not trained. You may reuse the base model text encoder for inference.
Training settings
- Training epochs: 0
- Training steps: 600
- Learning rate: 1e-06
- Effective batch size: 16
- Micro-batch size: 4
- Gradient accumulation steps: 4
- Number of GPUs: 1
- Prediction type: v_prediction
- Rescaled betas zero SNR: True
- Optimizer: AdamW, stochastic bf16
- Precision: Pure BF16
- Xformers: Not used
Datasets
celebrities
- Repeats: 4
- Total number of images: 1232
- Total number of aspect buckets: 2
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
movieposters
- Repeats: 25
- Total number of images: 1712
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
normalnudes
- Repeats: 5
- Total number of images: 1120
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
propagandaposters
- Repeats: 0
- Total number of images: 560
- Total number of aspect buckets: 2
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
guys
- Repeats: 5
- Total number of images: 368
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
pixel-art
- Repeats: 0
- Total number of images: 1040
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
signs
- Repeats: 25
- Total number of images: 384
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
moviecollection
- Repeats: 0
- Total number of images: 1888
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
bookcovers
- Repeats: 0
- Total number of images: 800
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
nijijourney
- Repeats: 0
- Total number of images: 560
- Total number of aspect buckets: 1
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
experimental
- Repeats: 0
- Total number of images: 3024
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
ethnic
- Repeats: 0
- Total number of images: 3072
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
sports
- Repeats: 0
- Total number of images: 784
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
gay
- Repeats: 0
- Total number of images: 1072
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
architecture
- Repeats: 0
- Total number of images: 4336
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
shutterstock
- Repeats: 0
- Total number of images: 21088
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
cinemamix-1mp
- Repeats: 0
- Total number of images: 9008
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
nsfw-1024
- Repeats: 0
- Total number of images: 10800
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
anatomy
- Repeats: 5
- Total number of images: 16400
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
bg20k-1024
- Repeats: 0
- Total number of images: 89280
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
yoga
- Repeats: 0
- Total number of images: 3600
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
photo-aesthetics
- Repeats: 0
- Total number of images: 33120
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
text-1mp
- Repeats: 25
- Total number of images: 13168
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
photo-concept-bucket
- Repeats: 0
- Total number of images: 567536
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
Inference
import torch
from diffusers import DiffusionPipeline
model_id = "terminus-lite-base-v1"
prompt = "a cute anime character named toast"
negative_prompt = "malformed, disgusting, overexposed, washed-out"
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
image = pipeline(
prompt=prompt,
negative_prompt='blurry, cropped, ugly',
num_inference_steps=30,
generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
width=1152,
height=768,
guidance_scale=7.5,
guidance_rescale=0.7,
).images[0]
image.save("output.png", format="PNG")
- Downloads last month
- 3,089
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for bghira/terminus-lite-base-v1
Base model
segmind/SSD-1B