metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: A person in a bustling cafe VM man
output:
url: samples/1755256384312__000002000_0.jpg
- text: VM man in studio
output:
url: samples/1755256437834__000002000_1.jpg
- text: VM man in mall
output:
url: samples/1755256491378__000002000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: VM man
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
vm
Model trained with AI Toolkit by Ostris
- Prompt
- A person in a bustling cafe VM man
- Prompt
- VM man in studio
- Prompt
- VM man in mall
Trigger words
You should use VM man 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('sanjaymalladi/vm', weight_name='vm.safetensors')
image = pipeline('A person in a bustling cafe VM man').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers