Instructions to use ImagineLabs/detail-tweaker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ImagineLabs/detail-tweaker with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ImagineLabs/detail-tweaker") prompt = "UNICODE\u0000\u0000O\u0000p\u0000h\u0000e\u0000l\u0000i\u0000a\u0000'\u0000s\u0000 \u0000d\u0000r\u0000e\u0000a\u0000m\u0000,\u0000 \u0000L\u0000o\u0000w\u0000 \u0000s\u0000a\u0000t\u0000u\u0000r\u0000a\u0000t\u0000i\u0000o\u0000n\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000y\u0000,\u0000 \u0000v\u0000i\u0000n\u0000t\u0000a\u0000g\u0000e\u0000,\u0000 \u0000g\u0000r\u0000u\u0000n\u0000g\u0000e\u0000,\u0000 \u0000t\u0000o\u0000p\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000,\u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000f\u0000u\u0000l\u0000 \u0000p\u0000a\u0000i\u0000n\u0000t\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000 \u0000o\u0000f\u0000 \u0000A\u0000n\u0000d\u0000e\u0000r\u0000s\u0000 \u0000Z\u0000o\u0000r\u0000n\u0000 \u0000|\u0000 \u0000M\u0000a\u0000r\u0000c\u0000o\u0000 \u0000M\u0000a\u0000z\u0000z\u0000o\u0000n\u0000i\u0000 \u0000|\u0000 \u0000Y\u0000u\u0000r\u0000i\u0000 \u0000I\u0000v\u0000a\u0000n\u0000o\u0000v\u0000i\u0000c\u0000h\u0000,\u0000 \u0000T\u0000o\u0000d\u0000d\u0000 \u0000M\u0000c\u0000F\u0000a\u0000r\u0000l\u0000a\u0000n\u0000e\u0000,\u0000 \u0000A\u0000l\u0000e\u0000k\u0000s\u0000i\u0000 \u0000B\u0000r\u0000i\u0000c\u0000l\u0000o\u0000t\u0000,\u0000 \u0000o\u0000i\u0000l\u0000 \u0000o\u0000n\u0000 \u0000c\u0000a\u0000n\u0000v\u0000a\u0000s\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("ImagineLabs/detail-tweaker")
prompt = "UNICODE\u0000\u0000O\u0000p\u0000h\u0000e\u0000l\u0000i\u0000a\u0000'\u0000s\u0000 \u0000d\u0000r\u0000e\u0000a\u0000m\u0000,\u0000 \u0000L\u0000o\u0000w\u0000 \u0000s\u0000a\u0000t\u0000u\u0000r\u0000a\u0000t\u0000i\u0000o\u0000n\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000y\u0000,\u0000 \u0000v\u0000i\u0000n\u0000t\u0000a\u0000g\u0000e\u0000,\u0000 \u0000g\u0000r\u0000u\u0000n\u0000g\u0000e\u0000,\u0000 \u0000t\u0000o\u0000p\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000,\u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000f\u0000u\u0000l\u0000 \u0000p\u0000a\u0000i\u0000n\u0000t\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000 \u0000o\u0000f\u0000 \u0000A\u0000n\u0000d\u0000e\u0000r\u0000s\u0000 \u0000Z\u0000o\u0000r\u0000n\u0000 \u0000|\u0000 \u0000M\u0000a\u0000r\u0000c\u0000o\u0000 \u0000M\u0000a\u0000z\u0000z\u0000o\u0000n\u0000i\u0000 \u0000|\u0000 \u0000Y\u0000u\u0000r\u0000i\u0000 \u0000I\u0000v\u0000a\u0000n\u0000o\u0000v\u0000i\u0000c\u0000h\u0000,\u0000 \u0000T\u0000o\u0000d\u0000d\u0000 \u0000M\u0000c\u0000F\u0000a\u0000r\u0000l\u0000a\u0000n\u0000e\u0000,\u0000 \u0000A\u0000l\u0000e\u0000k\u0000s\u0000i\u0000 \u0000B\u0000r\u0000i\u0000c\u0000l\u0000o\u0000t\u0000,\u0000 \u0000o\u0000i\u0000l\u0000 \u0000o\u0000n\u0000 \u0000c\u0000a\u0000n\u0000v\u0000a\u0000s\u0000"
image = pipe(prompt).images[0]Detail Tweaker

- Prompt
- UNICODEOphelia's dream, Low saturation color photography, vintage, grunge, top light, masterful painting in the style of Anders Zorn | Marco Mazzoni | Yuri Ivanovich, Todd McFarlane, Aleksi Briclot, oil on canvas
Download model
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