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

- Prompt
- Dove Cameron
Model description
FROM https://civitai.com/models/1422073/dove-cameron?modelVersionId=1607352
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Trigger Dove Cameron
Trigger words
You should use Dove Cameron 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 Jonjew/DoveCameron
Base model
black-forest-labs/FLUX.1-dev