Instructions to use tcherbert/deana1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tcherbert/deana1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tcherbert/deana1") prompt = "deana" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Deana1
Trained on Replicate using:
https://replicate.com/lucataco/sd3.5-fine-tuner/train
Trigger words
You should use deana to trigger the image generation.
Use it with the 🧨 diffusers library
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for tcherbert/deana1
Base model
stabilityai/stable-diffusion-3.5-large