Instructions to use Hoga2/Workingbody30days with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hoga2/Workingbody30days 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("Hoga2/Workingbody30days") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 608 Bytes
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tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: '-'
output:
url: images/ไม่มีชื่อ 265_20240418164824.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: Style of TOK
---
# Working30days
<Gallery />
## Model description
Type Tigger word Style of TOK
## Trigger words
You should use `Style of TOK` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Hoga2/Workingbody30days/tree/main) them in the Files & versions tab.
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