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--- |
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license: other |
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base_model: "black-forest-labs/FLUX.1-dev" |
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tags: |
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- flux |
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- flux-diffusers |
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- text-to-image |
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- diffusers |
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- simpletuner |
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- lora |
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- template:sd-lora |
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inference: true |
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--- |
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# simpletuner-lora-schedulefree |
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This is a LyCORIS adapter derived from [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev). |
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The main validation prompt used during training was: |
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``` |
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A photo-realistic image of a cat |
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``` |
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## Validation settings |
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- CFG: `3.0` |
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- CFG Rescale: `0.0` |
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- Steps: `20` |
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- Sampler: `None` |
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- Seed: `42` |
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- Resolution: `1776x512` |
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Note: The validation settings are not necessarily the same as the [training settings](#training-settings). |
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<Gallery /> |
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The text encoder **was not** trained. |
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You may reuse the base model text encoder for inference. |
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## Training settings |
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- Training epochs: 13 |
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- Training steps: 10001 |
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- Learning rate: 0.0001 |
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- Effective batch size: 6 |
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- Micro-batch size: 2 |
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- Gradient accumulation steps: 1 |
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- Number of GPUs: 3 |
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- Prediction type: flow-matching |
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- Rescaled betas zero SNR: False |
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- Optimizer: adamw_schedulefree+aggressiveweight_decay=1e-3 |
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- Precision: bf16 |
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- Quantised: Yes: fp8-quanto |
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- Xformers: Not used |
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- LyCORIS Config: |
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```json |
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{ |
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"algo": "lokr", |
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"multiplier": 1.0, |
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"linear_dim": 10000, |
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"linear_alpha": 1, |
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"factor": 12, |
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"apply_preset": { |
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"target_module": [ |
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"Attention", |
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"FeedForward" |
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], |
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"module_algo_map": { |
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"Attention": { |
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"factor": 12 |
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}, |
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"FeedForward": { |
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"factor": 6 |
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} |
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} |
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} |
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} |
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``` |
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## Datasets |
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### garfield |
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- Repeats: 0 |
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- Total number of images: ~2211 |
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- Total number of aspect buckets: 6 |
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- Resolution: 512 px |
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- Cropped: False |
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- Crop style: None |
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- Crop aspect: None |
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## Inference |
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```python |
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import torch |
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from diffusers import DiffusionPipeline |
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from lycoris import create_lycoris_from_weights |
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model_id = 'black-forest-labs/FLUX.1-dev' |
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adapter_id = 'pytorch_lora_weights.safetensors' # you will have to download this manually |
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lora_scale = 1.0 |
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wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer) |
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wrapper.merge_to() |
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prompt = "A photo-realistic image of a cat" |
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pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu') |
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image = pipeline( |
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prompt=prompt, |
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num_inference_steps=20, |
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generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826), |
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width=1776, |
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height=512, |
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guidance_scale=3.0, |
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).images[0] |
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image.save("output.png", format="PNG") |
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``` |
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