Model card auto-generated by SimpleTuner
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README.md
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---
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license: other
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base_model: "stabilityai/stable-diffusion-3-medium-diffusers"
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tags:
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- sd3
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- sd3-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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widget:
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- text: 'unconditional (blank prompt)'
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parameters:
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negative_prompt: 'blurry, cropped, ugly, creature'
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output:
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url: ./assets/image_0_0.png
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- text: 'e4g4, A pet egg wrapped in moss and plant essence, resembling a Pokémon game item, on a white background, in the style of Ken Sugimori vector art.'
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parameters:
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negative_prompt: 'blurry, cropped, ugly, creature'
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output:
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url: ./assets/image_1_0.png
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---
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# sd3_egg_lora_rank16_r8
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This is a standard PEFT LoRA derived from [stabilityai/stable-diffusion-3-medium-diffusers](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers).
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The main validation prompt used during training was:
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```
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e4g4, A pet egg wrapped in moss and plant essence, resembling a Pokémon game item, on a white background, in the style of Ken Sugimori vector art.
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```
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## Validation settings
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- CFG: `5.0`
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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: `1024x1024`
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Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
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You can find some example images in the following gallery:
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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: 0
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- Training steps: 96
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- Learning rate: 0.0001
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- Effective batch size: 1
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- Micro-batch size: 1
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- Gradient accumulation steps: 1
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- Number of GPUs: 1
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- Prediction type: flow-matching
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- Rescaled betas zero SNR: False
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- Optimizer: adamw_bf16
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- Precision: bf16
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- Quantised: No
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- Xformers: Not used
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- LoRA Rank: 64
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- LoRA Alpha: None
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- LoRA Dropout: 0.1
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- LoRA initialisation style: default
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## Datasets
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### sd3_egg
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- Repeats: 8
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- Total number of images: 12
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- Total number of aspect buckets: 1
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- Resolution: 1.048576 megapixels
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- Cropped: True
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- Crop style: center
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- Crop aspect: square
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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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model_id = 'stabilityai/stable-diffusion-3-medium-diffusers'
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adapter_id = 'zwloong/sd3_egg_lora_rank16_r8'
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pipeline = DiffusionPipeline.from_pretrained(model_id)
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pipeline.load_lora_weights(adapter_id)
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prompt = "e4g4, A pet egg wrapped in moss and plant essence, resembling a Pokémon game item, on a white background, in the style of Ken Sugimori vector art."
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negative_prompt = 'blurry, cropped, ugly, creature'
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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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negative_prompt=negative_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=1024,
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height=1024,
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guidance_scale=5.0,
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).images[0]
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image.save("output.png", format="PNG")
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```
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