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("sendintsch/tatam")
prompt = "tamtam"
image = pipe(prompt).images[0]tatam
Model description
tatam
Trigger words
You should use tamtam 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-lora-fast-training.
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Model tree for sendintsch/tatam
Base model
black-forest-labs/FLUX.1-dev