Instructions to use Shinhati2023/Golden_Girlie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shinhati2023/Golden_Girlie with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Bakanayatsu/ponyDiffusion-V6-XL-Turbo-DPO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shinhati2023/Golden_Girlie") prompt = "Hooded man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 573 Bytes
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tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: Hooded man
output:
url: images/Screenshot_20240518-102157_1chcff.png
base_model: Bakanayatsu/ponyDiffusion-V6-XL-Turbo-DPO
instance_prompt: Golden_Girlie
license: bigscience-openrail-m
---
# Golden_Girlie
<Gallery />
## Trigger words
You should use `Golden_Girlie` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Shinhati2023/Golden_Girlie/tree/main) them in the Files & versions tab.
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