Instructions to use kyn27/wavespeed_clover_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kyn27/wavespeed_clover_lora 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("kyn27/wavespeed_clover_lora") prompt = "v" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 531 Bytes
7329dd6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | ---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/high_fidelity_00003_.png
text: v
parameters:
negative_prompt: va
base_model: Qwen/Qwen-Image
instance_prompt: c0denameCloverV2
license: apache-2.0
---
# wavespeed lora 1
<Gallery />
## Model description
c0denameCloverV2
## Trigger words
You should use `c0denameCloverV2` to trigger the image generation.
## Download model
[Download](/kyn27/wavespeed_clover_lora/tree/main) them in the Files & versions tab.
|