Instructions to use patriciogomez/DKBAYSKIN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use patriciogomez/DKBAYSKIN 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("patriciogomez/DKBAYSKIN") prompt = "DKBAYSKIN" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
DKBAYSKIN
Model description
horse skin hiperrealism
Trigger words
You should use DKBAYSKIN to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.
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Model tree for patriciogomez/DKBAYSKIN
Base model
black-forest-labs/FLUX.1-dev