Model card auto-generated by SimpleTuner

README.md

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+---
+license: other
+base_model: "stabilityai/stable-diffusion-3-medium-diffusers"
+tags:
+ - sd3
+ - sd3-diffusers
+ - text-to-image
+ - diffusers
+ - simpletuner
+ - lora
+ - template:sd-lora
+inference: true
+widget:
+- text: 'unconditional (blank prompt)'
+ parameters:
+ negative_prompt: 'blurry, cropped, ugly'
+ output:
+ url: ./assets/image_0_0.png
+- text: 'A photo-realistic image of a cat'
+ parameters:
+ negative_prompt: 'blurry, cropped, ugly'
+ output:
+ url: ./assets/image_1_0.png
+---
+
+# simpletuner-lora
+
+This is a LyCORIS adapter derived from [stabilityai/stable-diffusion-3-medium-diffusers](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers).
+
+
+The main validation prompt used during training was:
+
+
+
+```
+A photo-realistic image of a cat
+```
+
+## Validation settings
+- CFG: `5.0`
+- 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](#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: 500
+- Learning rate: 0.0001
+- Effective batch size: 2
+ - Micro-batch size: 1
+ - Gradient accumulation steps: 2
+ - Number of GPUs: 1
+- Prediction type: flow-matching
+- Rescaled betas zero SNR: False
+- Optimizer: adamw_bf16
+- Precision: bf16
+- Quantised: No
+- Xformers: Not used
+- LyCORIS Config:
+```json
+{
+ "algo": "lokr",
+ "multiplier": 1.0,
+ "linear_dim": 10000,
+ "linear_alpha": 1,
+ "factor": 16,
+ "apply_preset": {
+ "target_module": [
+ "Attention",
+ "FeedForward"
+ ],
+ "module_algo_map": {
+ "Attention": {
+ "factor": 16
+ },
+ "FeedForward": {
+ "factor": 8
+ }
+ }
+ }
+}
+```
+
+## Datasets
+
+### something-special-to-remember-by
+- Repeats: 0
+- Total number of images: 564
+- Total number of aspect buckets: 2
+- Resolution: 1.048576 megapixels
+- Cropped: False
+- Crop style: None
+- Crop aspect: None
+
+
+## Inference
+
+
+```python
+import torch
+from diffusers import DiffusionPipeline
+from lycoris import create_lycoris_from_weights
+
+model_id = 'stabilityai/stable-diffusion-3-medium-diffusers'
+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=5.0,
+).images[0]
+image.save("output.png", format="PNG")
+```
+