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("PLE/d15ff")
prompt = "a flame fractal in the shape of a raccoon playing the electric guitar, PLE style"
image = pipe(prompt).images[0]d15ff
- Prompt
- a flame fractal in the shape of a raccoon playing the electric guitar, PLE style
- Prompt
- a flame fractal in the shape of a raccoon playing the electric guitar, PLE style
Model description
This repository contains a LoRA (Low-Rank Adaptation) fine-tuned on black-forest-labs/FLUX.1-dev to generate images in the artistic style of flame fractals, as seen in this dataset. This work is inspired by the blog post, "Fine-Tuning FLUX.1-dev on consumer hardware and in FP8".
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
black-forest-labs/FLUX.1-dev