Image-to-Image
Diffusers
English
lora
heat-wave
high-contrast
Thermal
Thermographic
Infrared
Pop-Art
Heatmap
magentas
oranges
Reds
Yellows
Instructions to use prithivMLmods/Qwen-Image-2.1-Heatwave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Qwen-Image-2.1-Heatwave with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/Qwen-Image-2.1-Heatwave") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download assets/2.png from prithivMLmods/Qwen-Image-2.1-Heatwave: direct link, hf CLI and curl.
- Browser
- Download file 8.89 MB
-
https://huggingface.co/prithivMLmods/Qwen-Image-2.1-Heatwave/resolve/main/assets/2.png
- Command line
-
hf download hf://prithivMLmods/Qwen-Image-2.1-Heatwave/assets/2.png
-
curl -L -o 2.png https://huggingface.co/prithivMLmods/Qwen-Image-2.1-Heatwave/resolve/main/assets/2.png
8.89 MB

- Xet hash:
- 9ddd7982d6d66e4f498f3a8e712dfc58d4164379367ffebb1ab7867224add33d
- Size of remote file:
- 8.89 MB
- SHA256:
- 2786f9e3febf3fb20a42cb843a4c27dc835ee7d518376f52763694d7a248ce4a
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