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/amosca_tt-sidewide")
prompt = "wounded centaur, mythical creature tok-sitewide"
image = pipe(prompt).images[0]tt-sidewide
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user amosca.
- Prompt
- wounded centaur, mythical creature tok-sitewide
- Prompt
- ruins of athens, snake tok-sitewide
- Prompt
- silver vampire sword tok-sitewide
- Prompt
- bricklayer, but instead of bricks he's using wedding cakes tok-sitewide
Trigger words
You should use tok-sitewide 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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Model tree for glif-loradex-trainer/amosca_tt-sidewide
Base model
black-forest-labs/FLUX.1-dev