|
|
--- |
|
|
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: TOK |
|
|
widget: |
|
|
- text: TOK with a slightly thinner face in a tight low cut business dress |
|
|
output: |
|
|
url: images/example_p0qksj2ym.png |
|
|
- text: TOK laying down in bikini |
|
|
output: |
|
|
url: images/example_tviqnvc2q.png |
|
|
|
|
|
--- |
|
|
|
|
|
# Hh |
|
|
|
|
|
<!-- <Gallery /> --> |
|
|
|
|
|
Trained on Replicate using: |
|
|
|
|
|
https://replicate.com/ostris/flux-dev-lora-trainer/train |
|
|
|
|
|
|
|
|
## Trigger words |
|
|
You should use `TOK` to trigger the image generation. |
|
|
|
|
|
|
|
|
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
|
|
|
|
|
```py |
|
|
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('BAGOFGRABBA/HH', 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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) |
|
|
|
