Instructions to use 1donshemyan/Seoullina with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 1donshemyan/Seoullina with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DervlexVenice/wan2.2_t2v_flux.1_d_xl_1.5_2b_yorha_no.2_type_b_nier_automata-character-flux", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("1donshemyan/Seoullina") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
- 8

