metadata
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
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: HERMES
widget:
- text: >-
Photo of a woman wearing a brown coat and black underwear, standing on a
red carpet. She is holding a brown purse in her hand and looking to her
right. The woman is wearing a black bra and is the main focus of the
image. The background is blurry, and the lighting is soft, creating a
sense of focus on the woman. The image is in the style of a fashion photo
shoot.
output:
url: images/example_baj1bfbh2.png
Hermes
- Prompt
- Photo of a woman wearing a brown coat and black underwear, standing on a red carpet. She is holding a brown purse in her hand and looking to her right. The woman is wearing a black bra and is the main focus of the image. The background is blurry, and the lighting is soft, creating a sense of focus on the woman. The image is in the style of a fashion photo shoot.
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use HERMES to trigger the image generation.
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.float16).to('cuda')
pipeline.load_lora_weights('veravira/hermes', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers