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/HologramFlux")
prompt = "1qqq,Dot Mat Hologram,a glowing earphone in the dark,ethereal and dreamlike subjects,rich and nuanced color palettes,(emotional depth),elegant compositions,dopamine color,glowing lights,light red and green,"
image = pipe(prompt).images[0]Hologram Flux Lora
- Prompt
- 1qqq,Dot Mat Hologram,a glowing earphone in the dark,ethereal and dreamlike subjects,rich and nuanced color palettes,(emotional depth),elegant compositions,dopamine color,glowing lights,light red and green,
- Negative Prompt
- Guidance: 3.5 Steps: 20 Sampler: Euler Seed: 898064822
- Prompt
- Dot Mat Hologram,a glowing desk in the dark,ethereal and dreamlike subjects,rich and nuanced color palettes,(emotional depth),elegant compositions,dopamine color,glowing lights,light navy and orange,flickr,light cyan and pink,electric color,
- Negative Prompt
- Guidance: 3.5 Steps: 20 Sampler: Euler Seed: 2439625163
Model description
FROM https://civitai.com/models/719266/hologram-flux-lora
Trigger 1qqq, hologram
Strength 0.8-1 Hologram Flux Lora
Base model: flux.1d Recommended steps: 20-30 Recommended sampling: Euler Weight: 0.8-1 cfg scale 3.5
Trigger words
You should use 1qqq to trigger the image generation.
You should use hologram 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/HologramFlux
Base model
black-forest-labs/FLUX.1-dev