Instructions to use wangjian21/VG_100e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_100e with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wangjian21/VG_100e") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 569e84f7adc0a2a48ca18dacdd4afe46279857f972b8fe8155cd2d88677fd06d
- Size of remote file:
- 492 kB
- SHA256:
- 3c1c9c5d050a987e5649dab88fabf44c5fc9bbcfc2258de66eb0ea12d0226a63
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