Instructions to use Rand000mGuy/milfbody with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/milfbody with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lakonik/AsymFLUX.2-klein-9B", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/milfbody") prompt = "fupa. a naked East Asian woman in a candid neutral posture flirty posture viewed from a front three-quarters angle with a sheepish endearing warm smile. natural skin tones, detailed hair. candid scene. she is shown on the edge of the frame with dynamic tilted uneven slanted framing suggesting a moment of unpredictability motion and in-the-moment authenticity and candor." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/1d893a45-64eb-4e12-9eba-c6269916f29c.png | |
| text: >- | |
| fupa. a naked East Asian woman in a candid neutral posture flirty posture | |
| viewed from a front three-quarters angle with a sheepish endearing warm | |
| smile. natural skin tones, detailed hair. candid scene. she is shown on the | |
| edge of the frame with dynamic tilted uneven slanted framing suggesting a | |
| moment of unpredictability motion and in-the-moment authenticity and candor. | |
| parameters: | |
| negative_prompt: drawing, 3d, overly smooth, artistic, graphics. | |
| base_model: Lakonik/AsymFLUX.2-klein-9B | |
| instance_prompt: null | |
| # milfbody | |
| <Gallery /> | |
| ## Download model | |
| [Download](/Rand000mGuy/milfbody/tree/main) them in the Files & versions tab. | |