N1GHT / README.md
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metadata
tags:
  - text-to-image
  - stable-diffusion-xl
  - illustrious
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      Cat, blue fur, no humans,furry, masterpiece, best quality, newest,
      detailed background
    output:
      url: samples/1793454879636__000000010_0.jpg
  - text: >-
      Cat, blue fur, no humans,furry, portrait, dramatic lighting, looking at
      viewer
    output:
      url: samples/1793454883851__000000010_1.jpg
base_model: OnomaAIResearch/Illustrious-xl-early-release-v0
instance_prompt: Cat, blue fur, no humans,furry
license: creativeml-openrail-m

my-illustrious-lora

Model trained with AI Toolkit by Ostris

Prompt
Cat, blue fur, no humans,furry, masterpiece, best quality, newest, detailed background
Prompt
Cat, blue fur, no humans,furry, portrait, dramatic lighting, looking at viewer

Trigger words

You should use Cat, blue fur, no humans,furry to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('OnomaAIResearch/Illustrious-xl-early-release-v0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('launch-calcium/N1GHT', weight_name='my-illustrious-lora.safetensors')
image = pipeline('Cat, blue fur, no humans,furry, masterpiece, best quality, newest, detailed background').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers