metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: sbjct rock climbing, studio photographic portrait
    output:
      url: samples/1731578313450__000000300_0.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: sbjct
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

me

Model trained with AI Toolkit by Ostris

Prompt
sbjct rock climbing, studio photographic portrait

Trigger words

You should use sbjct 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('jerrythechicken1/me', weight_name='me.safetensors')
image = pipeline('sbjct rock climbing, studio photographic portrait').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers