Instructions to use xxxx443117/loar1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xxxx443117/loar1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/Flex.1-alpha", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("xxxx443117/loar1") prompt = "哈哈哈哈" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from xxxx443117/loar1: direct link, hf CLI and curl.
- Browser
- Download file 464 Bytes
-
https://huggingface.co/xxxx443117/loar1/resolve/main/README.md
- Command line
-
hf download hf://xxxx443117/loar1/README.md
-
curl -L -o README.md https://huggingface.co/xxxx443117/loar1/resolve/main/README.md
464 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 哈哈哈哈
parameters:
negative_prompt: 不哈哈哈哈
output:
url: images/sp20250206_201436_228.png
- text: '-'
output:
url: images/sp20250206_201457_319.png
base_model: ostris/Flex.1-alpha
instance_prompt: null
license: apache-2.0
显示

- Prompt
- 哈哈哈哈
- Negative Prompt
- 不哈哈哈哈

- Prompt
- -
Download model
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