sd35-spirited-away-lokr
This is a LyCORIS adapter derived from stabilityai/stable-diffusion-3.5-large.
The main validation prompt used during training was:
A photo-realistic image of a cat
Validation settings
- CFG:
5.0 - CFG Rescale:
0.0 - Steps:
20 - Sampler:
None - Seed:
42 - Resolution:
1024x1024
Note: The validation settings are not necessarily the same as the training settings.
You can find some example images in the following gallery:
- Prompt
- unconditional (blank prompt)
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- A scene from the animated Studio Ghibli movie Spirited Away, where a man with kind eyes and a worn hat sits by a window, lost in thought, as light filters gently through sheer curtains.
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- A scene from the animated Studio Ghibli movie Spirited Away, where a woman with long, windswept hair reads a book at an outdoor cafe, surrounded by blooming flowers and soft afternoon light.
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- A scene from the animated Studio Ghibli movie Spirited Away, where a fluffy white cat curls up on a windowsill, basking in the warm sunlight, while soft curtains flutter in the breeze.
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- A scene from the animated Studio Ghibli movie Spirited Away, where a glowing, antlered spirit wanders through a quiet forest, leaving a trail of shimmering footprints among the ferns.
- Negative Prompt
- blurry, cropped, ugly
- Prompt
- A photo-realistic image of a cat
- 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: 6
- Training steps: 1200
- Learning rate: 1e-07
- Max grad norm: 0.01
- Effective batch size: 4
- Micro-batch size: 4
- Gradient accumulation steps: 1
- Number of GPUs: 1
- Prediction type: flow-matching
- Rescaled betas zero SNR: False
- Optimizer: adamw_bf16
- Precision: Pure BF16
- Quantised: Yes: int8-quanto
- Xformers: Not used
- LyCORIS Config:
{
"bypass_mode": true,
"algo": "lokr",
"multiplier": 1.0,
"linear_dim": 1000000,
"linear_alpha": 1,
"factor": 1,
"full_matrix": true,
"apply_preset": {
"target_module": [
"JointTransformerBlock"
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"transformer_blocks.30.norm1_context*": {
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},
"transformer_blocks.30.ff*": {
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"transformer_blocks.30.*": {
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"use_fnmatch": true
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}
Datasets
screencaps-1024
- Repeats: 0
- Total number of images: 379
- Total number of aspect buckets: 1
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
- Used for regularisation data: No
screencaps-1024-crop
- Repeats: 0
- Total number of images: 379
- Total number of aspect buckets: 1
- Resolution: 1.048576 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: square
- Used for regularisation data: No
Inference
import torch
from diffusers import DiffusionPipeline
from lycoris import create_lycoris_from_weights
model_id = 'stabilityai/stable-diffusion-3.5-large'
adapter_id = 'pytorch_lora_weights.safetensors' # you will have to download this manually
lora_scale = 1.0
wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer)
wrapper.merge_to()
prompt = "A photo-realistic image of a cat"
negative_prompt = 'blurry, cropped, ugly'
pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
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(1641421826),
width=1024,
height=1024,
guidance_scale=5.0,
).images[0]
image.save("output.png", format="PNG")
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Model tree for markury/sd35-spirited-away-lokr
Base model
stabilityai/stable-diffusion-3.5-large