Instructions to use ywe4y634y43/DR34ML4Y with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ywe4y634y43/DR34ML4Y with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FlutterGuyAzaza/WAN_2.2_I2V_MASSIVE_CUMSHOT", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ywe4y634y43/DR34ML4Y") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
DR34ML4Y

- Prompt
- -
Trigger words
You should use m15510n4ry bl0wj0b d0gg1e c0wg1rl d0ubl3_bj to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for ywe4y634y43/DR34ML4Y
Base model
black-forest-labs/FLUX.1-dev Quantized
kpsss34/FHDR_Uncensored