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/ampp_Seg_mented")
prompt = "wounded centaur playing a lute in the center of a village celebration held at night under the moonlight and burning firepit, mythical creature segmented"
image = pipe(prompt).images[0]Seg_mented
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user ampp.
- Prompt
- wounded centaur playing a lute in the center of a village celebration held at night under the moonlight and burning firepit, mythical creature segmented
- Prompt
- ruins of athens, snake salesman closeup portrait segmented
- Prompt
- silver vampire holding a glowing blood sword in the catacombs segmented
- Prompt
- segmented A portrait of a gorilla playing chess in a tree while wearing a blazer and streetwear clothing and jewlery
- Prompt
- segmented a detailed cartoon image of a large group of fans dancing in an abandoned mall with neon lights and lights
- Prompt
- segmented closeup portrait of the queen of candyland, wearing a crown made of candy and icing and cake for clothing
Trigger words
You should use segmented 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/ampp_Seg_mented
Base model
black-forest-labs/FLUX.1-dev