Instructions to use Kjppmp/ChimeraPatch1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kjppmp/ChimeraPatch1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/FLUX.2-dev-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kjppmp/ChimeraPatch1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Chimera Patch H E M

- Prompt
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Model description
Expleintable ai model Patch
Trigger words
You should use KjpBrl33 to trigger the image generation.
You should use Chimera to trigger the image generation.
You should use Red to trigger the image generation.
You should use Dragon to trigger the image generation.
You should use Chaos to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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