---
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](https://huggingface.co/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](#training-settings).

You can find some example images in the following gallery:


<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:
```json
{
    "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


```python
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.