Instructions to use Guusaar/evafinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Guusaar/evafinal 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("Guusaar/evafinal") prompt = "photo of a evahart in home interior --w 768 --h 1024 --s 25" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
evahart
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- photo of a evahart in home interior --w 768 --h 1024 --s 25

- Prompt
- intime photo of evahart --w 768 --h 1024 --s 25
Trigger words
You should use evahart to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for Guusaar/evafinal
Base model
black-forest-labs/FLUX.1-dev