Instructions to use Ava2000/Jcm2_Illustrious with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ava2000/Jcm2_Illustrious with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("calcuis/illustrious", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ava2000/Jcm2_Illustrious") prompt = "masterpiece, best quality," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 958 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/00013-4139707761.png
text: masterpiece, best quality,
parameters:
negative_prompt: >-
text, long body, lowres, cropped, lowres, jpeg artifacts, (artist name,
watermark, username, english text, signature:1.5), simple background,
conjoined, out of frame, out of frame, censored, bar censor,
base_model: calcuis/illustrious
instance_prompt: jcm2style
---
# JCM2 Style - Illustrious
<Gallery />
## Model description
A nice cartoon style that doesn't need extra quality tags to get a good result.
Trigger: jcm2style,
Extra triggers for style: masterpiece, best quality,
Artist tag (if needed): jcm2,
Advised strength: 0.6 - 1.0
## Trigger words
You should use `jcm2style` to trigger the image generation.
## Download model
[Download](/Ava2000/Jcm2_Illustrious/tree/main) them in the Files & versions tab.
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