Instructions to use Shero448/PHM_v3_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/PHM_v3_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dhead/wai-nsfw-illustrious-sdxl-v140-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/PHM_v3_lora") prompt = "(masterpiece, best quality:1.2), amazing quality, very aesthetic, 32k, absurdres, newest, scenery, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/_2025-03-23-120840_00001.png | |
| text: >- | |
| (masterpiece, best quality:1.2), amazing quality, very aesthetic, 32k, | |
| absurdres, newest, scenery, | |
| parameters: | |
| negative_prompt: >- | |
| worst aesthetic, (worst quality, low quality, bad quality:1.4), lowres, | |
| worst detail, scan artifacts, jpeg artifacts, lossy-lossless, aliasing, | |
| downscaled, ai-generated, old, | |
| base_model: dhead/wai-nsfw-illustrious-sdxl-v140-sdxl | |
| instance_prompt: <lora:PHM_style_IL_v3.3:1.0> | |
| # PHM_v3_lora | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `<lora:PHM_style_IL_v3.3:1.0>` to trigger the image generation. | |
| ## Download model | |
| [Download](/Shero448/PHM_v3_lora/tree/main) them in the Files & versions tab. | |