metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: black-forest-labs/FLUX.1-dev
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
inference:
parameters:
width: 1024
height: 1024
instance_prompt: JONJUAREZ
widget:
- text: >-
JONJUAREZ SUPER_PROMPT A fox on the bottom of a canyon viewed from the top
of a cliff. The bottom of the canyon is a grassy flower bed
output:
url: images/example_3h29qwjnq.png
jon-juarez-LoRA-lora
Model trained with AI Toolkit by Ostris
Trigger words
You should use JONJUAREZ 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('philipp-zettl/jon-juarez-LoRA-lora', weight_name='jon-juarez-LoRA_000001000.safetensors')
image = pipeline('JONJUAREZ').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers