Instructions to use Keltezaa/EvanRW_SoloLoRA_F1V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/EvanRW_SoloLoRA_F1V1 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("Keltezaa/EvanRW_SoloLoRA_F1V1") prompt = "-ss321 at a coffee shop facing the camera" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
EvanRW_SoloLoRA_F1V1

- Prompt
- -ss321 at a coffee shop facing the camera
Trigger words
You should use EvanRW to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Keltezaa/EvanRW_SoloLoRA_F1V1
Base model
black-forest-labs/FLUX.1-dev