Instructions to use marto32/boy-panda-loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marto32/boy-panda-loras 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("marto32/boy-panda-loras") prompt = "test" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
test loras

- Prompt
- test
- Negative Prompt
- test

- Prompt
- test1
- Negative Prompt
- test1
Model description
test
Trigger words
You should use ohwx reese to trigger the image generation.
You should use ohwx panda to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for marto32/boy-panda-loras
Base model
black-forest-labs/FLUX.1-dev