Instructions to use ChenkinRF/ChenkinNoob-XL-v0.2-Rectified-Flow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChenkinRF/ChenkinNoob-XL-v0.2-Rectified-Flow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChenkinRF/ChenkinNoob-XL-v0.2-Rectified-Flow", dtype=torch.bfloat16, device_map="cuda") prompt = "1girl, dragon horns, white horns, gradient horns, dragon wings, red wings, pink hair, bob cut, wavy hair, (fluffy hair:0.4), hair between eyes, pointy ears, red eyes, slit pupils, white serafuku, red neckerchief, school uniform, solo, sitting, looking to the side, scenery, white leg warmers, knees to chest, loafers, shorts under skirt, (wide shot:0.85), dragon tail, three-quarter view, cloud, hugging own legs, ocean, wide shot, masterpiece, best quality" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Are pochi, modan and the 3 files loras?
#1
by sadadw - opened
Are they lora files trained on Chenkin RF?
The loras shared were trained on a previous epoch to show compatibility.
Will the loras i train on 2 be compatible with version 3? 🥺
Will the loras i train on 2 be compatible with version 3? 🥺
should be, v0.3 is continued from v0.2
dangit. doesn't work in SD Forge Neo. 😢
sadadw changed discussion status to closed