Image Generation
Collection
LoRA adapters and datasets from diffusion model research
•
11 items
•
Updated
LoRA Adapter for black-forest-labs/FLUX.1-dev trained on pictures of me with ai-toolkit
Some Amusing Examples
LoRA was trained with the trigger phrase 4d4m luc3k
Full training config available at train_lora_flux_me.yaml
With diffusers package
Note: FLUX uses ~70GBvram when loaded directly with diffusers
Note: Recommended to load at ~70% scale for best results
from diffusers import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
pipeline.load_lora_weights("AdamLucek/FLUX.1-dev-lora-adaml", weight_name="flux_lora_Adam.safetensors.safetensors")
pipeline.to("cuda")
prompt = "4d4m luc3k as a DJ in a fancy nightclub wearing sunglasses."
out = pipeline(
prompt=prompt,
guidance_scale=3.5,
num_inference_steps=50,
cross_attention_kwargs={"scale": 0.7}
).images[0]
out.save("adam_flux_lora.png")
ComfyUI Setup
File available at workflow_adamlora.json
Please see base model page black-forest-labs/FLUX.1-dev for all details on appropriate usage, licensing, and more.
Base model
black-forest-labs/FLUX.1-dev