Instructions to use jbigs/stellathedog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jbigs/stellathedog 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("jbigs/stellathedog") prompt = "Stella the dog" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from jbigs/stellathedog: direct link, hf CLI and curl.
- Browser
- Download file 733 Bytes
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https://huggingface.co/jbigs/stellathedog/resolve/main/README.md
- Command line
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hf download hf://jbigs/stellathedog/README.md
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curl -L -o README.md https://huggingface.co/jbigs/stellathedog/resolve/main/README.md
733 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Stella the dog
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
stellathedog2
Model description
Trigger words
You should use Stella the dog to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.