Instructions to use zmy-org/pixel_f2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zmy-org/pixel_f2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zmy-org/pixel_f2") prompt = "(masterpiece, top quality, best quality), pixel,pixel art,1girl,full body, " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
pixel_f2

- Prompt
- (masterpiece, top quality, best quality), pixel,pixel art,1girl,full body,
Model description
可以配合其他lora来玩!也可以出像素场景!权重0.5就行! 画人像素推荐512X768,高清修复1.5.重绘幅度0.4,再高就没有像素感了。 画建筑推荐768X768,高清修复1.2 触发关键词:pixel
Trigger words
You should use pixel to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 15
Model tree for zmy-org/pixel_f2
Base model
stabilityai/stable-diffusion-xl-base-1.0