thangvip/compliment-forest-multistyle
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How to use thangvip/compliment-forest-paper-cut-flux-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("thangvip/compliment-forest-paper-cut-flux-lora")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]A style LoRA for black-forest-labs/FLUX.1-schnell, trained on the
paper_cut configuration of
thangvip/compliment-forest-multistyle.
Include cmprst_papercut near the beginning of the prompt.
Run details are included in training-summary.json. The adapter repository is
thangvip/compliment-forest-paper-cut-flux-lora.
Training images were generated specifically for this project with
black-forest-labs/FLUX.1-schnell through Hugging Face Inference Providers.
No named artist or known character was requested. Use remains subject to the
base model's license and terms.
Base model
black-forest-labs/FLUX.1-schnell