Text-to-Image
Diffusers
Safetensors
FluxPipeline
diffusers-training
lora
flux
flux-diffusers
template:sd-lora
Instructions to use eigenben/FLUX.1-dev-penguinoh-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eigenben/FLUX.1-dev-penguinoh-generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FLUX.1-dev-penguinoh-generator", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("eigenben/FLUX.1-dev-penguinoh-generator") prompt = "a photo of pngnh the Stuffed Penguin" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download tokenizer_2/tokenizer.json from eigenben/FLUX.1-dev-penguinoh-generator: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/eigenben/FLUX.1-dev-penguinoh-generator/resolve/main/tokenizer_2/tokenizer.json
- Command line
-
hf download hf://eigenben/FLUX.1-dev-penguinoh-generator/tokenizer_2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/eigenben/FLUX.1-dev-penguinoh-generator/resolve/main/tokenizer_2/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.