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
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/bc002383-d766-4b19-8702-f0eb3f335d10.png
text: >-
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.
parameters:
negative_prompt: worst quality, low quality, blurry, bad anatomy, extra limbs
base_model: wikeeyang/Flux2-Klein-9B-True-V2
instance_prompt: null
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.
- Negative Prompt
- worst quality, low quality, blurry, bad anatomy, extra limbs
Download model
Download them in the Files & versions tab.