metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: a DISDOGSTYLE style dog in the pool
output:
url: samples/1727389705997__000001200_0.jpg
- text: DISDOGSTYLE style dog family happily playing in the park
output:
url: samples/1727389719558__000001200_1.jpg
- text: a DISDOGSTYLE style dog with a red collar
output:
url: samples/1727389733114__000001200_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: DISDOGSTYLE
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
disdog-style-lora
Model trained with AI Toolkit by Ostris
- Prompt
- a DISDOGSTYLE style dog in the pool
- Prompt
- DISDOGSTYLE style dog family happily playing in the park
- Prompt
- a DISDOGSTYLE style dog with a red collar
Trigger words
You should use DISDOGSTYLE 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('ping-ping/disdog-style-lora', weight_name='disdog-style-lora')
image = pipeline('a DISDOGSTYLE style dog in the pool').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers