Instructions to use Jovie/Retro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jovie/Retro 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("Jovie/Retro") prompt = "a cat in cyborg suit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download README.md from Jovie/Retro: direct link, hf CLI and curl.
- Browser
- Download file 647 Bytes
-
https://huggingface.co/Jovie/Retro/resolve/main/README.md
- Command line
-
hf download hf://Jovie/Retro/README.md
-
curl -L -o README.md https://huggingface.co/Jovie/Retro/resolve/main/README.md
647 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
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
widget:
- text: a cat in cyborg suit
output:
url: images/example_4oh45f281.png
retro anime model style

- Prompt
- a cat in cyborg suit
Model description
Trigger words
You should use `` to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.