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("IronFelix/mmxtr001")
prompt = "intricate painting of a muscular skinny sexy elf barbarian girl with dark skin and long white straight hair, the elf girl is dressed in a tiny iron bra decorated with an intricate pattern, on the girl's hips is a barbarian chainmail loincloth. The elf girl has white eyebrows, crimson eyes and pointed ears, the girl leans on a big barbarian sword, the blade of which is decorated with mysterious glowing runes,, mmxtr001 <lora:mmxtr001:1.2>"
image = pipe(prompt).images[0]mmxtr001
- Prompt
- intricate painting of a muscular skinny sexy elf barbarian girl with dark skin and long white straight hair, the elf girl is dressed in a tiny iron bra decorated with an intricate pattern, on the girl's hips is a barbarian chainmail loincloth. The elf girl has white eyebrows, crimson eyes and pointed ears, the girl leans on a big barbarian sword, the blade of which is decorated with mysterious glowing runes,, mmxtr001 <lora:mmxtr001:1.2>
- Prompt
- -
Trigger words
You should use mmxtr001 to trigger the image generation.
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Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
black-forest-labs/FLUX.1-dev