metadata
license: other
base_model: stabilityai/stable-diffusion-3.5-medium
tags:
- sd3
- sd3-diffusers
- text-to-image
- diffusers
- simpletuner
- not-for-all-audiences
- lora
- template:sd-lora
- lycoris
inference: true
widget:
- text: unconditional (blank prompt)
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_0_0.png
- text: >-
Alien planet, strange rock formations, glowing plants, bizarre creatures,
surreal atmosphere
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_1_0.png
- text: >-
Alien marketplace, bizarre creatures, exotic goods, vibrant colors,
otherworldly atmosphere
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_2_0.png
- text: >-
Child holding a balloon, happy expression, colorful balloons, sunny day,
high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_3_0.png
- text: >-
a 4-panel comic strip showing an orange cat saying the words 'HELP' and
'LASAGNA'
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_4_0.png
- text: >-
a hand is holding a comic book with a cover that reads 'The Adventures of
Superhero'
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_5_0.png
- text: >-
Underground cave filled with crystals, glowing lights, reflective
surfaces, fantasy environment, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_6_0.png
- text: >-
Bustling cyberpunk bazaar, vendors, neon signs, advanced tech, crowded,
high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_7_0.png
- text: >-
Cyberpunk hacker in a dark room, neon glow, multiple screens, intense
focus, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_8_0.png
- text: >-
a cybernetic anne of green gables with neural implant and bio mech
augmentations
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_9_0.png
- text: >-
Post-apocalyptic cityscape, ruined buildings, overgrown vegetation, dark
and gritty, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_10_0.png
- text: >-
Magical castle in a lush forest, glowing windows, fantasy architecture,
high resolution, detailed textures
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_11_0.png
- text: >-
Ruins of an ancient temple in an enchanted forest, glowing runes, mystical
creatures, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_12_0.png
- text: >-
Mystical forest, glowing plants, fairies, magical creatures, fantasy art,
high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_13_0.png
- text: >-
Magical garden with glowing flowers, fairies, serene atmosphere, detailed
plants, high resolution
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_14_0.png
- text: >-
Whimsical garden filled with fairies, magical plants, sparkling lights,
serene atmosphere, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_15_0.png
- text: >-
Majestic dragon soaring through the sky, detailed scales, dynamic pose,
fantasy art, high resolution
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_16_0.png
- text: >-
Fantasy world, floating islands in the sky, waterfalls, lush vegetation,
detailed landscape, high resolution
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_17_0.png
- text: >-
Futuristic city skyline at night, neon lights, cyberpunk style, high
contrast, sharp focus
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_18_0.png
- text: >-
Space battle scene, starships fighting, laser beams, explosions, cosmic
background
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_19_0.png
- text: >-
Abandoned fairground at night, eerie rides, ghostly figures, fog, dark
atmosphere, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_20_0.png
- text: >-
Spooky haunted mansion on a hill, dark and eerie, glowing windows, ghostly
atmosphere, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_21_0.png
- text: a hardcover physics textbook that is called PHYSICS FOR DUMMIES
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_22_0.png
- text: >-
Epic medieval battle, knights in armor, dynamic action, detailed
landscape, high resolution
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_23_0.png
- text: >-
Bustling medieval market with merchants, knights, and jesters, vibrant
colors, detailed
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_24_0.png
- text: >-
Cozy medieval tavern, warm firelight, adventurers drinking, detailed
interior, rustic atmosphere
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_25_0.png
- text: >-
Futuristic city skyline at night, neon lights, cyberpunk style, high
contrast, sharp focus
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_26_0.png
- text: >-
Forest with neon-lit trees, glowing plants, bioluminescence, surreal
atmosphere, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_27_0.png
- text: >-
Bright neon sign in a busy city street, 'Open 24 Hours', bold typography,
glowing lights
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_28_0.png
- text: >-
Vibrant neon sign, 'Bar', bold typography, dark background, glowing
lights, detailed design
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_29_0.png
- text: >-
Pirate ship on the high seas, stormy weather, detailed sails, dramatic
waves, photorealistic
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_30_0.png
- text: >-
Pirate discovering a treasure chest, detailed gold coins, tropical island,
dramatic lighting
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_31_0.png
- text: >-
a photograph of a woman experiencing a psychedelic trip. trippy, 8k, uhd,
fractal
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_32_0.png
- text: >-
Cozy cafe on a rainy day, people sipping coffee, warm lights, reflections
on wet pavement, photorealistic
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_33_0.png
- text: >-
1980s arcade, neon lights, vintage game machines, kids playing, vibrant
colors, nostalgic atmosphere
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_34_0.png
- text: >-
1980s game room with vintage arcade machines, neon lights, vibrant colors,
nostalgic feel
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_35_0.png
- text: >-
Robot blacksmith forging metal, sparks flying, detailed workshop,
futuristic and medieval blend
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_36_0.png
- text: >-
Sleek robot performing a dance, futuristic theater, holographic effects,
detailed, high resolution
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_37_0.png
- text: >-
High-tech factory where robots are assembled, detailed machinery,
futuristic setting, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_38_0.png
- text: >-
Garden tended by robots, mechanical plants, colorful flowers, futuristic
setting, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_39_0.png
- text: >-
Cute robotic pet, futuristic home, sleek design, detailed features,
friendly and animated
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_40_0.png
- text: cctv trail camera night time security picture of a wendigo in the woods
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_41_0.png
- text: >-
Astronaut exploring an alien planet, detailed landscape, futuristic suit,
cosmic background
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_42_0.png
- text: >-
Futuristic space station orbiting a distant exoplanet, sleek design,
detailed structures, cosmic backdrop
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_43_0.png
- text: a person holding a sign that reads 'SOON'
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_44_0.png
- text: >-
Steampunk airship in the sky, intricate design, Victorian aesthetics,
dynamic scene, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_45_0.png
- text: >-
Steampunk inventor in a workshop, intricate gadgets, Victorian attire,
mechanical arm, goggles
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_46_0.png
- text: >-
Stormy ocean with towering waves, dramatic skies, detailed water, intense
atmosphere, high resolution
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_47_0.png
- text: >-
Dramatic stormy sea, lighthouse in the distance, lightning striking, dark
clouds, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_48_0.png
- text: >-
Graffiti artist creating a mural, vibrant colors, urban setting, dynamic
action, high resolution
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_49_0.png
- text: >-
Urban alleyway filled with vibrant graffiti art, tags and murals,
realistic textures
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_50_0.png
- text: >-
Urban street sign, 'Main Street', bold typography, realistic textures,
weathered look
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_51_0.png
- text: >-
Classic car show with vintage vehicles, vibrant colors, nostalgic
atmosphere, high detail
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_52_0.png
- text: >-
Retro diner sign, 'Joe's Diner', classic 1950s design, neon lights,
weathered look
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_53_0.png
- text: >-
Vintage store sign with elaborate typography, 'Antique Shop',
hand-painted, weathered look
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_54_0.png
- text: A photo-realistic image of a cat
parameters:
negative_prompt: ugly, cropped, blurry, low-quality, mediocre average
output:
url: ./assets/image_55_0.png
sd35m-photo-SLG-autoShift-LoKr-512to2048px
This is a LyCORIS adapter derived from stabilityai/stable-diffusion-3.5-medium.
The main validation prompt used during training was:
A photo-realistic image of a cat
Validation settings
- CFG:
6.0
- CFG Rescale:
0.0
- Steps:
30
- Sampler:
FlowMatchEulerDiscreteScheduler
- Seed:
42
- Resolution:
1024x1024
- Skip-layer guidance: skip_guidance_layers=[7, 8, 9],
Note: The validation settings are not necessarily the same as the training settings.
You can find some example images in the following gallery:
The text encoder was not trained. You may reuse the base model text encoder for inference.
Training settings
- Training epochs: 1
- Training steps: 58000
- Learning rate: 5e-06
- Learning rate schedule: constant
- Warmup steps: 500
- Max grad norm: 0.01
- Effective batch size: 9
- Micro-batch size: 3
- Gradient accumulation steps: 1
- Number of GPUs: 3
- Gradient checkpointing: True
- Prediction type: flow-matching (extra parameters=['flux_schedule_auto_shift', 'shift=0.0', 'flux_use_uniform_schedule'])
- Optimizer: adamw_bf16
- Trainable parameter precision: Pure BF16
- Caption dropout probability: 25.0%
LyCORIS Config:
{
"bypass_mode": true,
"algo": "lokr",
"multiplier": 1.0,
"full_matrix": true,
"linear_dim": 10000,
"linear_alpha": 1,
"factor": 4,
"apply_preset": {
"target_module": [
"Attention",
"FeedForward"
],
"module_algo_map": {
"FeedForward": {
"factor": 4
},
"Attention": {
"factor": 2
}
}
}
}
Datasets
signs
- Repeats: 0
- Total number of images: ~420
- Total number of aspect buckets: 14
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
moviecollection
- Repeats: 0
- Total number of images: ~1983
- Total number of aspect buckets: 26
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
bookcovers
- Repeats: 0
- Total number of images: ~927
- Total number of aspect buckets: 26
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
shutterstock
- Repeats: 0
- Total number of images: ~21111
- Total number of aspect buckets: 10
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
cinemamix-1mp
- Repeats: 0
- Total number of images: ~7425
- Total number of aspect buckets: 1
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
anatomy
- Repeats: 5
- Total number of images: ~16440
- Total number of aspect buckets: 2
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
signs-512
- Repeats: 0
- Total number of images: ~417
- Total number of aspect buckets: 7
- Resolution: 0.262144 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
moviecollection-512
- Repeats: 0
- Total number of images: ~1971
- Total number of aspect buckets: 9
- Resolution: 0.262144 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
bookcovers-512
- Repeats: 0
- Total number of images: ~918
- Total number of aspect buckets: 16
- Resolution: 0.262144 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
shutterstock-512
- Repeats: 0
- Total number of images: ~21096
- Total number of aspect buckets: 7
- Resolution: 0.262144 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
cinemamix-1mp-512
- Repeats: 0
- Total number of images: ~7422
- Total number of aspect buckets: 1
- Resolution: 0.262144 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
anatomy-512
- Repeats: 5
- Total number of images: ~16437
- Total number of aspect buckets: 2
- Resolution: 0.262144 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
signs-1440
- Repeats: 100
- Total number of images: ~423
- Total number of aspect buckets: 16
- Resolution: 2.0736 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
moviecollection-1440
- Repeats: 0
- Total number of images: ~2007
- Total number of aspect buckets: 44
- Resolution: 2.0736 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
bookcovers-1440
- Repeats: 0
- Total number of images: ~933
- Total number of aspect buckets: 31
- Resolution: 2.0736 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
shutterstock-1440
- Repeats: 0
- Total number of images: ~21111
- Total number of aspect buckets: 15
- Resolution: 2.0736 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
cinemamix-1mp-1440
- Repeats: 0
- Total number of images: ~7425
- Total number of aspect buckets: 2
- Resolution: 2.0736 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
anatomy-1440
- Repeats: 5
- Total number of images: ~16458
- Total number of aspect buckets: 2
- Resolution: 2.0736 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
Inference
import torch
from diffusers import DiffusionPipeline
from lycoris import create_lycoris_from_weights
def download_adapter(repo_id: str):
import os
from huggingface_hub import hf_hub_download
adapter_filename = "pytorch_lora_weights.safetensors"
cache_dir = os.environ.get('HF_PATH', os.path.expanduser('~/.cache/huggingface/hub/models'))
cleaned_adapter_path = repo_id.replace("/", "_").replace("\\", "_").replace(":", "_")
path_to_adapter = os.path.join(cache_dir, cleaned_adapter_path)
path_to_adapter_file = os.path.join(path_to_adapter, adapter_filename)
os.makedirs(path_to_adapter, exist_ok=True)
hf_hub_download(
repo_id=repo_id, filename=adapter_filename, local_dir=path_to_adapter
)
return path_to_adapter_file
model_id = 'stabilityai/stable-diffusion-3.5-medium'
adapter_repo_id = 'bghira/sd35m-photo-SLG-autoShift-LoKr-512to2048px'
adapter_filename = 'pytorch_lora_weights.safetensors'
adapter_file_path = download_adapter(repo_id=adapter_repo_id)
pipeline = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16) # loading directly in bf16
lora_scale = 1.0
wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_file_path, pipeline.transformer)
wrapper.merge_to()
prompt = "A photo-realistic image of a cat"
negative_prompt = 'ugly, cropped, blurry, low-quality, mediocre average'
## Optional: quantise the model to save on vram.
## Note: The model was not quantised during training, so it is not necessary to quantise it during inference time.
#from optimum.quanto import quantize, freeze, qint8
#quantize(pipeline.transformer, weights=qint8)
#freeze(pipeline.transformer)
pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu') # the pipeline is already in its target precision level
image = pipeline(
prompt=prompt,
negative_prompt=negative_prompt,
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(42),
width=1024,
height=1024,
guidance_scale=6.0,
skip_guidance_layers=[7, 8, 9],
).images[0]
image.save("output.png", format="PNG")
Exponential Moving Average (EMA)
SimpleTuner generates a safetensors variant of the EMA weights and a pt file.
The safetensors file is intended to be used for inference, and the pt file is for continuing finetuning.
The EMA model may provide a more well-rounded result, but typically will feel undertrained compared to the full model as it is a running decayed average of the model weights.