metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: cowboy wearing a denim jacket, sunsv1
output:
url: samples/1746467433922__000037400_0.jpg
- text: portrait of a beautiful woman with brunette hair, analog photo, sunsv1
output:
url: samples/1746467447648__000037400_1.jpg
- text: an astronaut riding a horse, watercolor painting, sunsv1
output:
url: samples/1746467461397__000037400_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: sunsv1
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
sunsail-1
Model trained with AI Toolkit by Ostris

- Prompt
- cowboy wearing a denim jacket, sunsv1

- Prompt
- portrait of a beautiful woman with brunette hair, analog photo, sunsv1

- Prompt
- an astronaut riding a horse, watercolor painting, sunsv1
Trigger words
You should use sunsv1
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('sunsailai/sunsail-1-lora', weight_name='sunsail-1.safetensors')
image = pipeline('cowboy wearing a denim jacket, sunsv1').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers