Instructions to use launch-calcium/N1GHT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use launch-calcium/N1GHT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("launch-calcium/N1GHT") prompt = "Cat, blue fur, no humans,furry, masterpiece, best quality, newest, detailed background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from launch-calcium/N1GHT: direct link, hf CLI and curl.
- Browser
- Download file 1.78 kB
-
https://huggingface.co/launch-calcium/N1GHT/resolve/main/README.md
- Command line
-
hf download hf://launch-calcium/N1GHT/README.md
-
curl -L -o README.md https://huggingface.co/launch-calcium/N1GHT/resolve/main/README.md
1.78 kB
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