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sd3-cheechandchong-regularised

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: 4.0
  • 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 picture of tommy chong
Negative Prompt
blurry, cropped, ugly
Prompt
young tommy chong
Negative Prompt
blurry, cropped, ugly
Prompt
a stoic photograph of tommy chong. he looks off into the distance, standing up against the railing of a ship. the sky is cloudy.
Negative Prompt
blurry, cropped, ugly
Prompt
an elderly tommy chong as a contestant on Wheel of Fortune
Negative Prompt
blurry, cropped, ugly
Prompt
tommy chong as a superhero in the style of studio ghibli. he wears a metal armor suit with glowing lights and power indicators.
Negative Prompt
blurry, cropped, ugly
Prompt
tommy chong in a casket, dead. he is dead and it is a funeral. the text overhead says 'HE HAS NOT RISEN'.
Negative Prompt
blurry, cropped, ugly
Prompt
a picture of cheech marin
Negative Prompt
blurry, cropped, ugly
Prompt
young cheech marin
Negative Prompt
blurry, cropped, ugly
Prompt
a stoic photograph of cheech marin. he looks off into the distance, standing up against the railing of a ship. the sky is cloudy.
Negative Prompt
blurry, cropped, ugly
Prompt
an elderly cheech marin as a contestant on Wheel of Fortune
Negative Prompt
blurry, cropped, ugly
Prompt
cheech marin as a superhero in the style of studio ghibli. he wears a metal armor suit with glowing lights and power indicators.
Negative Prompt
blurry, cropped, ugly
Prompt
cheech marin in a casket, dead. he is dead and it is a funeral. the text overhead says 'HE HAS NOT RISEN'.
Negative Prompt
blurry, cropped, ugly
Prompt
cheech marin sitting to the left of tommy chong on the set of a television interview
Negative Prompt
blurry, cropped, ugly
Prompt
cheech marin sitting to the right of tommy chong on the set of a television interview
Negative Prompt
blurry, cropped, ugly
Prompt
cheech and chong sitting together on the stoop of a new york apartment building, 1972
Negative Prompt
blurry, cropped, ugly
Prompt
the iconic duo cheech and chong on stage performing stand-up comedy together in 2008
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: 62
  • Training steps: 5500
  • Learning rate: 1e-05
  • Max grad norm: 0.01
  • Effective batch size: 3
    • Micro-batch size: 1
    • Gradient accumulation steps: 1
    • Number of GPUs: 3
  • Prediction type: flow-matching
  • Rescaled betas zero SNR: False
  • Optimizer: optimi-stableadamw
  • Precision: Pure BF16
  • Quantised: No
  • Xformers: Not used
  • LyCORIS Config:
{
    "bypass_mode": true,
    "algo": "lokr",
    "multiplier": 1.0,
    "full_matrix": true,
    "linear_dim": 10000,
    "linear_alpha": 1,
    "factor": 12,
    "apply_preset": {
        "target_module": [
            "Attention"
        ],
        "module_algo_map": {
            "Attention": {
                "factor": 6
            }
        }
    }
}

Datasets

cheechandchong-cropped-1024

  • Repeats: 10
  • Total number of images: ~24
  • Total number of aspect buckets: 7
  • 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

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=4.0,
).images[0]
image.save("output.png", format="PNG")
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