Instructions to use SpiderSteeped/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SpiderSteeped/out 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("SpiderSteeped/out") 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 SpiderSteeped/out: direct link, hf CLI and curl.
- Browser
- Download file 971 Bytes
-
https://huggingface.co/SpiderSteeped/out/resolve/main/README.md
- Command line
-
hf download hf://SpiderSteeped/out/README.md
-
curl -L -o README.md https://huggingface.co/SpiderSteeped/out/resolve/main/README.md
971 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/_74de5dbf-6e1a-40d8-9c70-08432cd34307.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: >-
long tongue out, tongue out, sticking tongue out, frontview, sideview, uvula,
mouth open wide
out

- Prompt
- -
Trigger words
You should use long tongue out to trigger the image generation.
You should use tongue out to trigger the image generation.
You should use sticking tongue out to trigger the image generation.
You should use frontview to trigger the image generation.
You should use sideview to trigger the image generation.
You should use uvula to trigger the image generation.
You should use mouth open wide to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.