import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Jovie/Robotics")
prompt = "closeup portrait photo of an Elysium Robot Cyborg Samurai, macro, a captivating vibrant dark capturing the essence of a cyborg Bedouin sorcerer in fight stance, Kneeling infront of japanese shire. ethereal, smoky backdrop. throwing a translucent red/tanslucent amber/black, weapon, katana, holding katana, atmospheric haze, Film grain, cinematic film still, shallow depth of field, highly detailed, high budget, cinemascope, moody, epic, OverallDetail, gorgeous, 2000s vintage RAW photo, photorealistic, candid camera, color graded cinematic, eye catchlights, atmospheric lighting, skin pores, imperfections, natural, shallow dof,"
image = pipe(prompt).images[0]robotics model style
- Prompt
- closeup portrait photo of an Elysium Robot Cyborg Samurai, macro, a captivating vibrant dark capturing the essence of a cyborg Bedouin sorcerer in fight stance, Kneeling infront of japanese shire. ethereal, smoky backdrop. throwing a translucent red/tanslucent amber/black, weapon, katana, holding katana, atmospheric haze, Film grain, cinematic film still, shallow depth of field, highly detailed, high budget, cinemascope, moody, epic, OverallDetail, gorgeous, 2000s vintage RAW photo, photorealistic, candid camera, color graded cinematic, eye catchlights, atmospheric lighting, skin pores, imperfections, natural, shallow dof,
Model description
Trigger words
You should use `` to trigger the image generation.
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Model tree for Jovie/Robotics
Base model
black-forest-labs/FLUX.1-schnell