Instructions to use cdvine5248/derek-foreal-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cdvine5248/derek-foreal-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-Z-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cdvine5248/derek-foreal-model") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 412 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Derek Foreal.jpg
text: '-'
base_model: RunDiffusion/Juggernaut-Z-Image
instance_prompt: null
license: other
license_name: weights.gg-other-
license_link: LICENSE
---
# Derek Foreal
<Gallery />
## Download model
[Download](/cdvine5248/derek-foreal-model/tree/main) them in the Files & versions tab.
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