Instructions to use Rand000mGuy/undabb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/undabb with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Flux2-Klein-9B-True-V2", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/undabb") prompt = "ubcr0p, A red-haired woman with freckles browses vinyl records in a warm record store, wearing a vintage band t-shirt cropped short to expose her bare midriff and breasts." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K