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 Settings
- Draw Things
- DiffusionBee
File size: 831 Bytes
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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.
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