Instructions to use Thihasoe/Snake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Thihasoe/Snake with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Thihasoe/Snake") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Thihasoe/Snake: direct link, hf CLI and curl.
- Browser
- Download file 630 Bytes
-
https://huggingface.co/Thihasoe/Snake/resolve/main/README.md
- Command line
-
hf download hf://Thihasoe/Snake/README.md
-
curl -L -o README.md https://huggingface.co/Thihasoe/Snake/resolve/main/README.md
630 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/AI-Crafted Romantic Greenhouse for Valentine's Day.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Snake, photography
license: apache-2.0
SnkQ THS

- Prompt
- -
Model description
Flux Lora, Snake
Trigger words
You should use Snake to trigger the image generation.
You should use photography to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.