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graceyun
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Model Details
Model Provider
graceyun
Model Tree
black-forest-labs/FLUX.1-dev
Input Modalities
Output Modalities
Supported Functionality
These are graceyun/dsv3fb_lr_0.0002_steps_4200_rank_16_bs_12 DreamBooth LoRA weights for black-forest-labs/FLUX.1-dev.
The weights were trained using DreamBooth with the Flux diffusers trainer.
Was LoRA for the text encoder enabled? False.
You should use a PXCON, a 16-bit pixel art icon in a minimalist style, on a white background to trigger the image generation.
Download the *.safetensors LoRA in the Files & versions tab.
py
from diffusers import AutoPipelineForText2Imageimport torchpipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to('cuda')pipeline.load_lora_weights('graceyun/dsv3fb_lr_0.0002_steps_4200_rank_16_bs_12', weight_name='pytorch_lora_weights.safetensors')image = pipeline('a PXCON, a 16-bit pixel art icon of a brown puppy, on a white background').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
Please adhere to the licensing terms as described here.
python
# TODO: add an example code snippet for running this diffusion pipeline
[TODO: provide examples of latent issues and potential remediations]
[TODO: describe the data used to train the model]