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
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Download README.md from Shinhati2023/Golden_Girlie: direct link, hf CLI and curl.
- Browser
- Download file 573 Bytes
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https://huggingface.co/Shinhati2023/Golden_Girlie/resolve/main/README.md
- Command line
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hf download hf://Shinhati2023/Golden_Girlie/README.md
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curl -L -o README.md https://huggingface.co/Shinhati2023/Golden_Girlie/resolve/main/README.md
573 Bytes
| 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. | |