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README.md

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----
-license: apache-2.0
----
+---
+license: openrail++
+library_name: diffusers
+pipeline_tag: text-to-image
+tags:
+  - text-to-image
+  - stable-diffusion
+  - sdxl
+  - image-generation
+  - placeholder
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+---
+
+# Stable Diffusion XL (SDXL) Model Repository
+
+This directory is reserved for Stable Diffusion XL models and related components.
+
+## Repository Status
+
+**Current Status**: Empty / Placeholder
+
+This directory structure is prepared for future SDXL model storage but currently contains no model files.
+
+## Intended Contents
+
+When populated, this directory would typically contain:
+
+### SDXL Base Models
+- `sdxl-base-1.0.safetensors` - Base SDXL model (6.94GB)
+- `sdxl-refiner-1.0.safetensors` - Refiner model (6.08GB)
+
+### Text Encoders
+- CLIP-G and CLIP-L text encoders
+- OpenCLIP-ViT-bigG encoder
+
+### VAE
+- SDXL VAE for latent encoding/decoding
+
+### Optional Components
+- LoRA adapters
+- ControlNet models
+- IP-Adapter models
+
+## Model Information
+
+**Stable Diffusion XL** is a state-of-the-art text-to-image generation model featuring:
+- Larger UNet backbone (2.6B parameters)
+- Dual text encoders for better prompt understanding
+- 1024x1024 native resolution
+- Two-stage pipeline (base + refiner)
+
+## Hardware Requirements (When Populated)
+
+**SDXL Base**:
+- VRAM: 8GB minimum, 12GB+ recommended
+- Disk Space: ~14GB for base + refiner
+- Memory: 16GB+ system RAM
+
+**SDXL with Refiner**:
+- VRAM: 12GB minimum, 16GB+ recommended
+- Better quality with two-stage generation
+
+## Usage Example (Reference)
+
+```python
+from diffusers import DiffusionPipeline
+import torch
+
+# Load SDXL base model (when available)
+pipe = DiffusionPipeline.from_pretrained(
+    "stabilityai/stable-diffusion-xl-base-1.0",
+    torch_dtype=torch.float16,
+    use_safetensors=True,
+    variant="fp16"
+)
+
+pipe.to("cuda")
+
+# Generate image
+image = pipe(
+    prompt="a beautiful mountain landscape",
+    num_inference_steps=50
+).images[0]
+
+# Load refiner (optional)
+refiner = DiffusionPipeline.from_pretrained(
+    "stabilityai/stable-diffusion-xl-refiner-1.0",
+    torch_dtype=torch.float16,
+    use_safetensors=True,
+    variant="fp16"
+)
+
+# Refine image
+refined_image = refiner(
+    prompt="a beautiful mountain landscape",
+    image=image
+).images[0]
+```
+
+## License
+
+Stable Diffusion XL is released under the CreativeML Open RAIL++-M license, which permits commercial use with certain restrictions.
+
+## Official Resources
+
+- [SDXL Base Model](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
+- [SDXL Refiner](https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0)
+- [SDXL Documentation](https://huggingface.co/docs/diffusers/using-diffusers/sdxl)
+
+---
+
+**Note**: This is currently an empty placeholder directory. Download SDXL models from Hugging Face and place them here for local storage and usage.

checkpoints/sdxl/sdxl-base.safetensors

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checkpoints/sdxl/sdxl-turbo.safetensors

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