Instructions to use Rand000mGuy/athletic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/athletic 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/athletic") prompt = "very thin build Caucasion, skinny woman skinny, SQNSFW_F2K9B, Ech0, T@nya, becky, A rear view full-length, full body shown, photorealistic shot of a Caucasian woman with large busts, standing in a gym, dressed in a tight top and fitted gray shorts that expose her upper thighs, and black sneakers. High ponytail with curtain bangs hairstyle," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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