import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("lavangajula99/32_bit_mint")
prompt = "32_bit_mint"
image = pipe(prompt).images[0]32_bit_mint
Model description
32_bit_mint
Trigger words
You should use 32_bit_mint to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-2-klein-9b-base-trainer.
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