metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: A person in a bustling cafe pepe
output:
url: samples/1737602345329__000001000_0.jpg
- text: A pepe
output:
url: samples/pepe1.webp
- text: A pepe
output:
url: samples/pepe2.webp
- text: A pepe
output:
url: samples/pepe3.webp
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: pepe
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
pepe
- Prompt
- A person in a bustling cafe pepe
- Prompt
- A pepe
- Prompt
- A pepe
- Prompt
- A pepe
Trigger words
You should use pepe 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('openfree/pepe', weight_name='pepe.safetensors')
image = pipeline('A person in a bustling cafe pepe').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers