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README.md

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+---
+license: creativeml-openrail-m
+base_model: "stabilityai/stable-diffusion-3-medium-diffusers"
+tags:
+  - stable-diffusion
+  - stable-diffusion-diffusers
+  - text-to-image
+  - diffusers
+  - lora
+  - template:sd-lora
+inference: true
+widget:
+- text: 'prompt not found (0)'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_0_0.png
+- text: 'prompt not found (1)'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_1_0.png
+---
+
+# sd3-lora-test
+
+This is a LoRA 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 naked man is surfing on top of a horse
+```
+
+## Validation settings
+- CFG: `5.0`
+- CFG Rescale: `0.2`
+- Steps: `50`
+- Sampler: `euler`
+- Seed: `2`
+- Resolution: `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: 86
+- Learning rate: 1e-06
+- Effective batch size: 1
+  - Micro-batch size: 1
+  - Gradient accumulation steps: 1
+  - Number of GPUs: 1
+- Prediction type: v_prediction
+- Rescaled betas zero SNR: True
+- Optimizer: AdamW, stochastic bf16
+- Precision: Pure BF16
+- Xformers: Not used
+- LoRA Rank: 16
+- LoRA Alpha: 16
+- LoRA Dropout: 0.1
+- LoRA initialisation style: default
+
+
+## Datasets
+
+### celebrities
+- Repeats: 0
+- Total number of images: 1253
+- Total number of aspect buckets: 3
+- Resolution: 1.0 megapixels
+- Cropped: True
+- Crop style: random
+- Crop aspect: random
+
+
+## Inference
+
+
+```python
+None
+
+model_id = "sd3-lora-test"
+prompt = "a naked man is surfing on top of a horse"
+negative_prompt = "malformed, disgusting, overexposed, washed-out"
+
+pipeline = DiffusionPipeline.from_pretrained(model_id)
+pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
+image = pipeline(
+    prompt=prompt,
+    negative_prompt='blurry, cropped, ugly',
+    num_inference_steps=50,
+    generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
+    width=1152,
+    height=768,
+    guidance_scale=5.0,
+    guidance_rescale=0.2,
+).images[0]
+image.save(f"output.png", format="PNG")
+```
+