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---
license: creativeml-openrail-m
base_model: Laxhar/noobai-XL-1.0
tags:
- stable-diffusion
- stable-diffusion-diffusers
- stable-diffusion-sdxl
- text-to-image
- diffusers
- safetensors
- noobai
widget:
- text: "a beautiful landscape, masterpiece, best quality"
example_title: "Landscape"
- text: "1girl, anime style, detailed face, high quality"
example_title: "Anime Character"
- text: "a cute cat, photorealistic, 4k"
example_title: "Photorealistic"
inference: true
---
# Indigo Furry Mix XL
Converted from SafeTensor checkpoint to Diffusers format Original: https://civitai.com/models/579632?modelVersionId=1472080
## Model Information
- **Base Model**: Laxhar/noobai-XL-1.0
- **Original Format**: SafeTensor Checkpoint
- **Converted Format**: Diffusers
- **Model Type**: Stable Diffusion XL
- **Original Checkpoint**: indigoFurryMixXL_noobaiEPS3.safetensors
## Usage
### Basic Usage
```python
from diffusers import StableDiffusionXLPipeline
import torch
# Load the pipeline
pipeline = StableDiffusionXLPipeline.from_pretrained(
"your-username/your-repo-name",
torch_dtype=torch.float16,
use_safetensors=True
)
pipeline = pipeline.to("cuda")
# Generate an image
prompt = "a beautiful landscape, masterpiece, best quality"
negative_prompt = 'low quality, blurry, distorted'
image = pipeline(
prompt,
negative_prompt=negative_prompt,
num_inference_steps=25,
guidance_scale=7.5,
width=1024, height=1024
).images[0]
image.save("generated_image.png")
```
### Advanced Usage with Custom Settings
```python
# For more control over generation
image = pipeline(
prompt="your prompt here",
negative_prompt='low quality, worst quality',
num_inference_steps=30,
guidance_scale=8.0,
width=1024,
height=1024,
generator=torch.Generator("cuda").manual_seed(42)
).images[0]
```
## Recommended Settings
### For NoobAI Models:
- **Positive prompts**: Include 'masterpiece, best quality, very aesthetic'
- **Negative prompts**: Use 'lowres, bad anatomy, bad hands, text, error, missing fingers'
- **CFG Scale**: 5-7 recommended
- **Resolution**: 1024x1024 or 832x1216 for portraits
- **Steps**: 20-30 steps usually sufficient
- **Sampler**: Euler a, DPM++ 2M, or DPM++ SDE work well
## Model Details
This model was automatically converted from a SafeTensor checkpoint to the Diffusers format for easy use with the 🤗 Diffusers library.
### Technical Specifications
- **Architecture**: Stable Diffusion XL
- **Parameter Count**: ~3.5B
- **Precision**: Mixed precision (FP16/FP32)
- **VRAM Requirements**: ~6GB (with FP16)
## License
This model is licensed under the CreativeML OpenRAIL-M license. Please ensure you comply with the license terms when using this model.
## Disclaimer
This model is converted from a community checkpoint. Please ensure you have the right to use and distribute the original model before using this converted version.
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