Instructions to use SlimTwenty/ildawan20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SlimTwenty/ildawan20 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DFloat11/Wan2.1-T2V-14B-Diffusers-DF11", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SlimTwenty/ildawan20") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
ildawan

- Prompt
- -
Model description
absolutecinema
Trigger words
You should use issou to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for SlimTwenty/ildawan20
Base model
Wan-AI/Wan2.1-T2V-14B-Diffusers Quantized
DFloat11/Wan2.1-T2V-14B-Diffusers-DF11