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
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
# 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.