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LoRA, Checkpoints of Diffusions, Flux, etc • 2 items • Updated
How to use risangpanggalih/doodoov1 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-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("risangpanggalih/doodoov1")
prompt = "Abraham Lincoln doodoov1 illustration"
image = pipe(prompt).images[0]



The doodoov1 LoRA is trained from the FLUX.1-dev, fine-tuned to generate playful, hand-drawn style illustrations with a clean, minimalistic approach. doodoov1 excels at producing charming and whimsical artworks that capture a simple sketch-like aesthetic, perfect for various subjects.
Version Beta 1
Trained on Replicate using: https://replicate.com/lucataco/ai-toolkit
You should use doodoov1 to trigger the image generation.
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('risangpanggalih/doodoov1', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
Base model
black-forest-labs/FLUX.1-dev