sd35m-cheechandchong-regularised

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: 3.0
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: 18
Training steps: 5000
Learning rate: 0.0001
Max grad norm: 0.01
Effective batch size: 12
- Micro-batch size: 4
- Gradient accumulation steps: 1
- Number of GPUs: 3
Prediction type: flow-matching
Rescaled betas zero SNR: False
Optimizer: bnb-adamw8bit
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": [
            "JointTransformerBlock"
        ],
        "module_algo_map": {
            "FeedForward": {
                "factor": 6
            },
            "JointTransformerBlock": {
                "factor": 12
            }
        }
    }
}

Datasets

cheechandchong-uncropped-512

Repeats: 10
Total number of images: ~24
Total number of aspect buckets: 5
Resolution: 0.262144 megapixels
Cropped: False
Crop style: None
Crop aspect: None
Used for regularisation data: No

cheechandchong-cropped-512

Repeats: 10
Total number of images: ~24
Total number of aspect buckets: 5
Resolution: 0.262144 megapixels
Cropped: False
Crop style: None
Crop aspect: None
Used for regularisation data: No

cheechandchong-uncropped-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

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-medium'
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=3.0,
).images[0]
image.save("output.png", format="PNG")

bghira
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sd35m-cheechandchong-regularised