Instructions to use DAKARA555/deepfera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DAKARA555/deepfera with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DAKARA555/deepfera") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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## Model description
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https://civitai.com/models/1395313/wan-dr34mjob-doublesinglehandy-blowjob?modelVersionId=1610465
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## Download model
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## Model description
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https://civitai.com/models/1395313/wan-dr34mjob-doublesinglehandy-blowjob?modelVersionId=1610465
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https://huggingface.co/DAKARA555/deepfera/resolve/main/WAN_dr34mj0b.safetensors?download=true
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## Download model
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