metadata
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
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: m1st1c
widget:
- text: >-
m1st1c, a whimsical creature that resembles a mix between a kangaroo and a
deer, with antlers that bloom into flowers and a tail that glows softly in
the dark , in the style of m1st1c.
output:
url: >-
https://cdn-uploads.huggingface.co/production/uploads/66bde22dd9a797412206b774/VzbyLTHq4iHlw0IGYw8hu.jpeg
M1St1C
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use m1st1c to trigger the image generation.
Prompt Structure
m1st1c, [Prompt],in the style of m1st1c
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.float16).to('cuda')
pipeline.load_lora_weights('HalimAlrasihi/m1st1c', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers