|
--- |
|
license: other |
|
base_model: "black-forest-labs/FLUX.1-dev" |
|
tags: |
|
- flux |
|
- flux-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: 'unconditional (blank prompt)' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_1_1.png |
|
- text: 'a photo of cheech marin' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_2_0.png |
|
- text: 'a photo of cheech marin' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_3_1.png |
|
- text: 'a photo of tommy chong' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_4_0.png |
|
- text: 'a photo of tommy chong' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_5_1.png |
|
- text: 'a photo with tommy chong sitting to the left of cheech marin' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_6_0.png |
|
- text: 'a photo with tommy chong sitting to the left of cheech marin' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_7_1.png |
|
- text: 'a photo with cheech marin sitting to the right of tommy chong' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_8_0.png |
|
- text: 'a photo with cheech marin sitting to the right of tommy chong' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_9_1.png |
|
- text: 'cheech and chong together in a photograph' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_10_0.png |
|
- text: 'cheech and chong together in a photograph' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_11_1.png |
|
- text: 'young cheech and chong in a black and white photograph' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_12_0.png |
|
- text: 'young cheech and chong in a black and white photograph' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_13_1.png |
|
- text: 'elderly cheech and chong in an interview on the BBC' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_14_0.png |
|
- text: 'elderly cheech and chong in an interview on the BBC' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_15_1.png |
|
- text: 'old tommy chong on a sitcom in the 1990s' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_16_0.png |
|
- text: 'old tommy chong on a sitcom in the 1990s' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_17_1.png |
|
- text: 'anime cheech marin' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_18_0.png |
|
- text: 'anime cheech marin' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_19_1.png |
|
- text: 'anime tommy chong' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_20_0.png |
|
- text: 'anime tommy chong' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_21_1.png |
|
- text: 'A photo-realistic image of a tommy chong' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_22_0.png |
|
- text: 'A photo-realistic image of a tommy chong' |
|
parameters: |
|
negative_prompt: 'blurry, cropped, ugly' |
|
output: |
|
url: ./assets/image_23_1.png |
|
--- |
|
|
|
# Flux.1-dev-LoKr-test1.4-nomask |
|
|
|
This is a LyCORIS adapter derived from [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev). |
|
|
|
|
|
The main validation prompt used during training was: |
|
|
|
|
|
|
|
``` |
|
A photo-realistic image of a tommy chong |
|
``` |
|
|
|
## Validation settings |
|
- CFG: `3.0` |
|
- CFG Rescale: `0.0` |
|
- Steps: `20` |
|
- Sampler: `None` |
|
- Seed: `42` |
|
- Resolutions: `1024x1024,1280x768` |
|
|
|
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: 0 |
|
- Training steps: 5000 |
|
- Learning rate: 0.001 |
|
- Effective batch size: 6 |
|
- Micro-batch size: 2 |
|
- Gradient accumulation steps: 1 |
|
- Number of GPUs: 3 |
|
- Prediction type: flow-matching |
|
- Rescaled betas zero SNR: False |
|
- Optimizer: optimi-stableadamwweight_decay=1e-3 |
|
- Precision: Pure BF16 |
|
- Quantised: Yes: int8-quanto |
|
- Xformers: Not used |
|
- LyCORIS Config: |
|
```json |
|
{ |
|
"algo": "lokr", |
|
"multiplier": 1.0, |
|
"linear_dim": 10000, |
|
"linear_alpha": 1, |
|
"factor": 12, |
|
"apply_preset": { |
|
"target_module": [ |
|
"Attention", |
|
"FeedForward" |
|
], |
|
"module_algo_map": { |
|
"Attention": { |
|
"factor": 12 |
|
}, |
|
"FeedForward": { |
|
"factor": 6 |
|
} |
|
} |
|
} |
|
} |
|
``` |
|
|
|
## Datasets |
|
|
|
### cheechandchong-512 |
|
- Repeats: 500 |
|
- Total number of images: ~24 |
|
- Total number of aspect buckets: 2 |
|
- Resolution: 0.262144 megapixels |
|
- Cropped: False |
|
- Crop style: None |
|
- Crop aspect: None |
|
### cheechandchong-1024 |
|
- Repeats: 500 |
|
- Total number of images: ~30 |
|
- Total number of aspect buckets: 8 |
|
- Resolution: 1.048576 megapixels |
|
- Cropped: False |
|
- Crop style: None |
|
- Crop aspect: None |
|
### cheechandchong-512-crop |
|
- Repeats: 500 |
|
- Total number of images: ~18 |
|
- Total number of aspect buckets: 1 |
|
- Resolution: 0.262144 megapixels |
|
- Cropped: True |
|
- Crop style: random |
|
- Crop aspect: square |
|
### cheechandchong-1024-crop |
|
- Repeats: 500 |
|
- Total number of images: ~18 |
|
- Total number of aspect buckets: 1 |
|
- Resolution: 1.048576 megapixels |
|
- Cropped: True |
|
- Crop style: random |
|
- Crop aspect: square |
|
### regularisation-512 |
|
- Repeats: 0 |
|
- Total number of images: ~5886 |
|
- Total number of aspect buckets: 8 |
|
- Resolution: 0.262144 megapixels |
|
- Cropped: False |
|
- Crop style: None |
|
- Crop aspect: None |
|
### regularisation-1024 |
|
- Repeats: 0 |
|
- Total number of images: ~5892 |
|
- Total number of aspect buckets: 17 |
|
- Resolution: 1.048576 megapixels |
|
- Cropped: False |
|
- Crop style: None |
|
- Crop aspect: None |
|
### regularisation-512-crop |
|
- Repeats: 0 |
|
- Total number of images: ~5874 |
|
- Total number of aspect buckets: 1 |
|
- Resolution: 0.262144 megapixels |
|
- Cropped: True |
|
- Crop style: random |
|
- Crop aspect: square |
|
### regularisation-1024-crop |
|
- Repeats: 0 |
|
- Total number of images: ~5874 |
|
- Total number of aspect buckets: 1 |
|
- Resolution: 1.048576 megapixels |
|
- Cropped: True |
|
- Crop style: random |
|
- Crop aspect: square |
|
|
|
|
|
## Inference |
|
|
|
|
|
```python |
|
import torch |
|
from diffusers import DiffusionPipeline |
|
from lycoris import create_lycoris_from_weights |
|
|
|
model_id = 'black-forest-labs/FLUX.1-dev' |
|
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 tommy chong" |
|
|
|
pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu') |
|
image = pipeline( |
|
prompt=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") |
|
``` |
|
|
|
|