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("Jonjew/FractalGeometryStyle")
prompt = "Cinematic, Beauty, Realism, Light and Shadow, Cinematography, Film Stills, 1980s photo of a woman's face splashed ral-frctlgmtry, her head disintegrates into a golden and black fluid and breaks into fragments <lora:ral-frctlgmtry_flux:1>"
image = pipe(prompt).images[0]Fractal Geometry Style [FLUX+SDXL+1.5]
- Prompt
- Cinematic, Beauty, Realism, Light and Shadow, Cinematography, Film Stills, 1980s photo of a woman's face splashed ral-frctlgmtry, her head disintegrates into a golden and black fluid and breaks into fragments <lora:ral-frctlgmtry_flux:1>
- Prompt
- male warrior meahophontron of colorful ral-frctlgmtry <lora:ral-frctlgmtry_flux:1>
- Prompt
- woman meahophontron of colorful ral-frctlgmtry <lora:ral-frctlgmtry_flux:1>
Model description
FROM https://civitai.com/models/269592/fractal-geometry-style-fluxsdxl15 Triggers ral-frctlgmtry
Trigger words
You should use ral-frctlgmtry to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Jonjew/FractalGeometryStyle
Base model
black-forest-labs/FLUX.1-dev