Instructions to use Rand000mGuy/painful with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/painful 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/painful") prompt = "girl has a painful expression. girl is suffering. she is crying. she is clenching her teeth." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
painful
.webp)
- Prompt
- girl has a painful expression. girl is suffering. she is crying. she is clenching her teeth.
Download model
Download them in the Files & versions tab.
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Model tree for Rand000mGuy/painful
Base model
black-forest-labs/FLUX.2-klein-9B Finetuned
wikeeyang/Flux2-Klein-9B-True-V2