Instructions to use threecrowco/VolkClipartQwen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use threecrowco/VolkClipartQwen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("threecrowco/VolkClipartQwen") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Rename adapter_model.safetensors to pytorch_lora_weights.safetensors
Browse files
adapter_model.safetensors → pytorch_lora_weights.safetensors
RENAMED
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File without changes
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