Text-to-Image
Diffusers
template:sd-lora
flux
lora
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("an303042/tres_riches_heures")

prompt = "wounded centaur, mythical creature rchrs"
image = pipe(prompt).images[0]

Tres_Riches_Heures

Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user an303042.

Prompt
wounded centaur, mythical creature rchrs
Prompt
ruins of athens, snake rchrs
Prompt
silver vampire sword rchrs
Prompt
medieval illustration of a dog standing by a fire hydrant, rchrs
Prompt
medieval drawing of a red headed woman dressed as a nun standing in a busy intersection rchrs
Prompt
an evil goose with sunglasses, rchrs

Trigger words

You should use rchrs to trigger the image generation.

Download model

Weights for this model are available in Safetensors format. Download them in the Files & versions tab.

License

This model is licensed under the flux-1-dev-non-commercial-license.

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