metadata
license: other
base_model: stabilityai/stable-diffusion-3-medium-diffusers
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: blurry, cropped, ugly
output:
url: ./assets/image_0_0.png
- text: A swift and agile elven archer perched in a tree, nocking an arrow.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_1_0.png
- text: A cyberpunk hunter in neon-lit city alleys, armed with a high-tech rifle.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_2_0.png
- text: A mighty fantasy knight in gleaming armor, wielding a sword and shield.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_3_0.png
- text: >-
A space pirate captain standing on the bridge of a starship, ready for
adventure.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_4_0.png
- text: A powerful demonic sorcerer casting a spell in a dark, mysterious chamber.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_5_0.png
- text: >-
A friendly robotic assistant with a sleek design, helping a player
navigate a game.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_6_0.png
- text: A stealthy ninja warrior crouching in the shadows, ready to strike.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_7_0.png
- text: >-
A group of survivors in a post-apocalyptic world, fending off a zombie
horde.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_8_0.png
- text: >-
A brave dragon tamer soaring through the sky on the back of a majestic
dragon.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_9_0.png
- text: >-
A wise medieval wizard in a towering castle, studying ancient tomes of
magic.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_10_0.png
- text: >-
Sun Wukong, the Monkey King from 'Black Myth: Wukong', clad in
battle-damaged golden armor, wearing a phoenix-feathered purple golden
crown. His eyes gleam with an indomitable spirit of battle. He wields the
Ruyi Jingu Bang, its golden body shimmering with light, standing amidst an
ancient battlefield shrouded in demonic fog, surrounded by shattered
battle flags and scattered weapons. Wukong's fur billows in the wild wind
of the battlefield, his muscular physique clearly defined, showcasing his
unparalleled strength and agility.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_11_0.png
- text: >-
Sun Wukong, the Monkey King from 'Black Myth: Wukong', clad in
battle-damaged golden armor, wearing a phoenix-feathered purple golden
crown. His eyes gleam with an indomitable spirit of battle. He wields the
Ruyi Jingu Bang, its golden body shimmering with light, standing amidst an
ancient battlefield shrouded in demonic fog, surrounded by shattered
battle flags and scattered weapons. Wukong's fur billows in the wild wind
of the battlefield, his muscular physique clearly defined, showcasing his
unparalleled strength and agility.
parameters:
negative_prompt: blurry, cropped, ugly
output:
url: ./assets/image_12_0.png
simpletuner-lora
This is a LyCORIS adapter derived from stabilityai/stable-diffusion-3-medium-diffusers.
The main validation prompt used during training was:
Sun Wukong, the Monkey King from 'Black Myth: Wukong', clad in battle-damaged golden armor, wearing a phoenix-feathered purple golden crown. His eyes gleam with an indomitable spirit of battle. He wields the Ruyi Jingu Bang, its golden body shimmering with light, standing amidst an ancient battlefield shrouded in demonic fog, surrounded by shattered battle flags and scattered weapons. Wukong's fur billows in the wild wind of the battlefield, his muscular physique clearly defined, showcasing his unparalleled strength and agility.
Validation settings
- CFG:
3.0
- CFG Rescale:
0.0
- Steps:
20
- Sampler:
FlowMatchEulerDiscreteScheduler
- Seed:
42
- Resolution:
1024x1024
- Skip-layer guidance:
Note: The validation settings are not necessarily the same as the training settings.
You can find some example images in the following gallery:

- Prompt
- A swift and agile elven archer perched in a tree, nocking an arrow.
- Negative Prompt
- blurry, cropped, ugly

- Prompt
- A cyberpunk hunter in neon-lit city alleys, armed with a high-tech rifle.
- Negative Prompt
- blurry, cropped, ugly

- Prompt
- A mighty fantasy knight in gleaming armor, wielding a sword and shield.
- Negative Prompt
- blurry, cropped, ugly

- Prompt
- A space pirate captain standing on the bridge of a starship, ready for adventure.
- Negative Prompt
- blurry, cropped, ugly

- Prompt
- A powerful demonic sorcerer casting a spell in a dark, mysterious chamber.
- Negative Prompt
- blurry, cropped, ugly

- Prompt
- A friendly robotic assistant with a sleek design, helping a player navigate a game.
- Negative Prompt
- blurry, cropped, ugly

- Prompt
- A stealthy ninja warrior crouching in the shadows, ready to strike.
- Negative Prompt
- blurry, cropped, ugly

- Prompt
- A group of survivors in a post-apocalyptic world, fending off a zombie horde.
- Negative Prompt
- blurry, cropped, ugly

- Prompt
- A brave dragon tamer soaring through the sky on the back of a majestic dragon.
- Negative Prompt
- blurry, cropped, ugly

- Prompt
- A wise medieval wizard in a towering castle, studying ancient tomes of magic.
- Negative Prompt
- blurry, cropped, ugly
The text encoder was not trained. You may reuse the base model text encoder for inference.
Training settings
- Training epochs: 10
- Training steps: 10000
- Learning rate: 0.0001
- Learning rate schedule: polynomial
- Warmup steps: 100
- Max grad norm: 0.01
- Effective batch size: 1
- Micro-batch size: 1
- Gradient accumulation steps: 1
- Number of GPUs: 1
- Gradient checkpointing: True
- Prediction type: flow-matching (extra parameters=['shift=3'])
- Optimizer: adamw_bf16
- Trainable parameter precision: Pure BF16
- Caption dropout probability: 10.0%
LyCORIS Config:
{
"algo": "lokr",
"multiplier": 1.0,
"linear_dim": 10000,
"linear_alpha": 1,
"factor": 16,
"apply_preset": {
"target_module": [
"Attention",
"FeedForward"
],
"module_algo_map": {
"Attention": {
"factor": 16
},
"FeedForward": {
"factor": 8
}
}
}
}
Datasets
wikiart_sargent
- Repeats: 0
- Total number of images: 920
- Total number of aspect buckets: 4
- Resolution: 1.048576 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-medium-diffusers'
adapter_repo_id = 'jimchoi/simpletuner-lora'
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 = "Sun Wukong, the Monkey King from 'Black Myth: Wukong', clad in battle-damaged golden armor, wearing a phoenix-feathered purple golden crown. His eyes gleam with an indomitable spirit of battle. He wields the Ruyi Jingu Bang, its golden body shimmering with light, standing amidst an ancient battlefield shrouded in demonic fog, surrounded by shattered battle flags and scattered weapons. Wukong's fur billows in the wild wind of the battlefield, his muscular physique clearly defined, showcasing his unparalleled strength and agility."
negative_prompt = 'blurry, cropped, ugly'
## Optional: quantise the model to save on vram.
## Note: The model was quantised during training, and so it is recommended to do the same 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=20,
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=3.0,
).images[0]
image.save("output.png", format="PNG")