Instructions to use leonel4rd/Comicflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonel4rd/Comicflux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("leonel4rd/Comicflux") prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000c\u0000o\u0000m\u0000i\u0000c\u0000_\u0000S\u0000D\u0000X\u0000L\u0000_\u0000v\u00001\u0000:\u00000\u0000.\u00005\u0000>\u0000,\u0000 \u0000(\u0000a\u0000n\u0000i\u0000m\u0000e\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000i\u0000n\u0000g\u0000:\u00000\u0000.\u00008\u0000)\u0000,\u0000 \u0000l\u0000a\u0000n\u0000d\u0000s\u0000c\u0000a\u0000p\u0000e\u0000,\u0000 \u0000m\u0000a\u0000n\u0000g\u0000a\u0000_\u0000a\u0000r\u0000t\u0000,\u0000 \u0000i\u0000n\u0000i\u0000p\u0000h\u0000i\u0000z\u0000i\u0000,\u0000 \u0000o\u0000e\u0000k\u0000a\u0000k\u0000i\u0000,\u0000 \u0000c\u0000i\u0000t\u0000y\u0000,\u0000 \u0000s\u0000h\u0000i\u0000b\u0000u\u0000y\u0000a\u0000 \u0000\\\u0000(\u0000t\u0000o\u0000k\u0000y\u0000o\u0000\\\u0000)\u0000,\u0000 \u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("leonel4rd/Comicflux")
prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000c\u0000o\u0000m\u0000i\u0000c\u0000_\u0000S\u0000D\u0000X\u0000L\u0000_\u0000v\u00001\u0000:\u00000\u0000.\u00005\u0000>\u0000,\u0000 \u0000(\u0000a\u0000n\u0000i\u0000m\u0000e\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000i\u0000n\u0000g\u0000:\u00000\u0000.\u00008\u0000)\u0000,\u0000 \u0000l\u0000a\u0000n\u0000d\u0000s\u0000c\u0000a\u0000p\u0000e\u0000,\u0000 \u0000m\u0000a\u0000n\u0000g\u0000a\u0000_\u0000a\u0000r\u0000t\u0000,\u0000 \u0000i\u0000n\u0000i\u0000p\u0000h\u0000i\u0000z\u0000i\u0000,\u0000 \u0000o\u0000e\u0000k\u0000a\u0000k\u0000i\u0000,\u0000 \u0000c\u0000i\u0000t\u0000y\u0000,\u0000 \u0000s\u0000h\u0000i\u0000b\u0000u\u0000y\u0000a\u0000 \u0000\\\u0000(\u0000t\u0000o\u0000k\u0000y\u0000o\u0000\\\u0000)\u0000,\u0000 \u0000"
image = pipe(prompt).images[0]Comicflux

- Prompt
- UNICODE<lora:comic_SDXL_v1:0.5>, (anime coloring:0.8), landscape, manga_art, iniphizi, oekaki, city, shibuya \(tokyo\),
Trigger words
You should use anime coloring to trigger the image generation.
You should use manga_art to trigger the image generation.
You should use iniphizi to trigger the image generation.
You should use oekaki to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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