Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
Flux
FluxDev
Anime
Euler
AdamW8bit
Realistic-Anime
Instructions to use prithivMLmods/Canopus-LoRA-Flux-Anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Canopus-LoRA-Flux-Anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/Canopus-LoRA-Flux-Anime") prompt = "Anime ((masterpiece,best quality, detailed)), outdoor,wind_lift, souryuu asuka langley, interface headset, red bodysuit, (realistic:1.3)" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 8f84463a90f0ef87f643848080af37ccc0a54dd6d564bea4086b7eac684018da
- Size of remote file:
- 2.06 MB
- SHA256:
- 37f900e53c84411926ee015f109207aa4c4b585bfac0086bb8e78b618abc4a1c
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