Instructions to use Keltezaa/Emma_Watson_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/Emma_Watson_V3 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/Emma_Watson_V3") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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/Emma_Watson_V3")
prompt = "-"
image = pipe(prompt).images[0]Emma_Watson_V3

- Prompt
- -
Model description
Emma Watson by SoloLee
Trigger words
You should use Emma Watson to trigger the image generation.
You should use Sololee to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Keltezaa/Emma_Watson_V3
Base model
black-forest-labs/FLUX.1-dev