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
File size: 209 Bytes
426d49c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"peft_type": "LORA",
"r": 16,
"lora_alpha": 16,
"bias": "none",
"target_modules": [
"attn.q_proj",
"attn.k_proj",
"attn.v_proj",
"attn.out_proj",
"mlp.fc1",
"mlp.fc2"
]
}
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