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/an303042_Chromatic")

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

Chromatic

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

Prompt
wounded centaur, mythical creature crmtc
Prompt
ruins of athens, snake crmtc
Prompt
silver vampire sword crmtc
Prompt
crmtc, red headed nun standing at a busy intersection
Prompt
crmtc, dog standing by a fire hydrant
Prompt
crmtc, evil goose wearing sunglasses

Trigger words

You should use crmtc 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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