Instructions to use B4100/razz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/razz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diroverflo/FLux_Klein_9B_NSFW", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/razz") prompt = "-" 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/f4.jpg | |
| text: '-' | |
| base_model: diroverflo/FLux_Klein_9B_NSFW | |
| instance_prompt: null | |
| # razz | |
| <Gallery /> | |
| ## Model description | |
| Model now knows: | |
| Pussy | |
| Pussy spread | |
| Anus | |
| Ass Spread | |
| Insertion | |
| Gaping | |
| Enhanced nipples knowledge | |
| and way more | |
| Also use amateur photo for a cellphone type of image. | |
| Use the Lora weight of 0.8 to 1.2 | |
| ## Download model | |
| [Download](/B4100/razz/tree/main) them in the Files & versions tab. | |