metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
A shot of Zendaya with long red hair. She's wearing a black shirt with
blue shorts. Z3ndaya
output:
url: samples/1742420636290__000004000_0.jpg
- text: >-
A shot of Zendaya with short blue hair. She's wearing hoop earrings, and a
black tuxedo. She's sitting in an office, drinking coffee. Z3ndaya
output:
url: samples/1742420676457__000004000_1.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Z3ndaya
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
Zendaya_v1
Model trained with AI Toolkit by Ostris
- Prompt
- A shot of Zendaya with long red hair. She's wearing a black shirt with blue shorts. Z3ndaya
- Prompt
- A shot of Zendaya with short blue hair. She's wearing hoop earrings, and a black tuxedo. She's sitting in an office, drinking coffee. Z3ndaya
Trigger words
You should use Z3ndaya to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('ayanda13/Zendaya_v1', weight_name='Zendaya_v1.safetensors')
image = pipeline('A shot of Zendaya with long red hair. She's wearing a black shirt with blue shorts. Z3ndaya').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers