Instructions to use obann001/Druuna_Flux1.Dev_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use obann001/Druuna_Flux1.Dev_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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("obann001/Druuna_Flux1.Dev_LoRA") prompt = "In this vibrant, colorful Comic Realistic Book illustration, Druuna, 18 y.o latina woman, deep black hair, straight hair, bowl hair, high angle view, cinematic lighting, soft lighting. Digital Concept Art. 8K. Unreal engine. A woman in a blue dress dancing Urban Kizomba on a stage." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Druuna

- Prompt
- In this vibrant, colorful Comic Realistic Book illustration, Druuna, 18 y.o latina woman, deep black hair, straight hair, bowl hair, high angle view, cinematic lighting, soft lighting. Digital Concept Art. 8K. Unreal engine. A woman in a blue dress dancing Urban Kizomba on a stage.

- Prompt
- In this vibrant, colorful Comic Realistic Book illustration, Druuna, a woman in a white outfit holds a sword and stands in front of a cityscape.

- Prompt
- In this vibrant, colorful Comic Realistic Book illustration, Druuna, a woman in a suit sits on a stool in front of a hot-dog.
Trained on REPLICATE:
Trigger words
You should use druuna to trigger the image generation.
Use it with the 🧨 diffusers library
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('/obann001/Druuna_Flux1.Dev_LoRA', weight_name='Druuna_Flux1.Dev-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
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Model tree for obann001/Druuna_Flux1.Dev_LoRA
Base model
black-forest-labs/FLUX.1-dev