Instructions to use Ridealong/Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ridealong/Test 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("Ridealong/Test") prompt = "UNICODE\u0000\u0000m\u0000a\u0000l\u0000e\u0000,\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000 \u0000p\u0000o\u0000l\u0000i\u0000c\u0000e\u0000,\u0000 \u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000P\u0000o\u0000l\u0000i\u0000c\u0000i\u0000a\u0000M\u0000B\u0000:\u00000\u0000.\u00007\u0000>\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 603 Bytes
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tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: "UNICODE\0\0m\0a\0l\0e\0,\0 \0r\0e\0a\0l\0i\0s\0t\0i\0c\0,\0 \0 \0p\0o\0l\0i\0c\0e\0,\0 \0 \0<\0l\0o\0r\0a\0:\0P\0o\0l\0i\0c\0i\0a\0M\0B\0:\00\0.\07\0>\0"
output:
url: images/00056.jpeg
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
license: cc
---
# PoliciaMB
<Gallery />
## Model description
Brazil MP uniform
## Download model
Weights for this model are available in Safetensors format.
[Download](/Ridealong/Test/tree/main) them in the Files & versions tab.
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