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("VHKE/mini-ceramic")
prompt = "mini ceramic"
image = pipe(prompt).images[0]mini ceramic
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- mini ceramic
Trigger words
You should use mini ceramic to trigger the image generation.
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Weights for this model are available in Safetensors format.
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black-forest-labs/FLUX.1-dev