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", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("glif-loradex-trainer/mindlywork_Backcloth")

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

Backcloth

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

Prompt
wounded centaur, mythical creature b!c
Prompt
ruins of athens, snake b!c
Prompt
silver vampire sword b!c
Prompt
shoe floating with white background cloth b!c
Prompt
shoe floating with silver background cloth b!c

Trigger words

You should use b!c 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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