Instructions to use Shero448/deepthroat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/deepthroat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/prefect-pony-xl-v2-cleaned-style-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/deepthroat") prompt = "<lora:pov_deepthroat_v0.1:1.0>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 599 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: <lora:pov_deepthroat_v0.1:1.0>
parameters:
negative_prompt: (worst quality, low quality:1.4)
output:
url: images/00248-3906395966.png
base_model: John6666/prefect-pony-xl-v2-cleaned-style-sdxl
instance_prompt: deepthroat
---
# deepthroat
<Gallery />
## Trigger words
You should use `deepthroat` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Shero448/deepthroat/tree/main) them in the Files & versions tab.
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