Instructions to use B4100/pretzel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/pretzel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheRaf7/ultra-real-wan2.2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/pretzel") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 872 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Firefly_gpt-image (5).png
text: '-'
base_model: TheRaf7/ultra-real-wan2.2
instance_prompt: null
---
# pretzel
<Gallery />
## Model description
pretzel_pose, a nude woman is lying on a mat, she starts doing pretzel pose, she puts her legs behind her head, in a garden, front view
pretzel_pose, a nude woman is sitting on a chair, she is wearing black high heels, she starts doing pretzel pose, she puts her legs behind her head, in a photo studio, front view, static camera
pretzel_pose, a nude woman is lying on a bed, she is wearing sheer stockings. she starts doing pretzel pose, she puts her legs behind her head, in a bedroom, front view, static camera
## Download model
[Download](/B4100/pretzel/tree/main) them in the Files & versions tab.
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