Anime-Style
![](https://huggingface.co/Nishitbaria/LoRa-Flux-Anime-Style/resolve/main/images/9705468a-0ac1-46a0-97a5-e51c43da41cc.jpeg)
- Prompt
- A ANMCH A girl at the edge of a lush, mysterious forest. Her long, flowing hair dances in the gentle breeze, framing a face serene yet filled with longing. The soft, dappled sunlight highlights the delicate features of her countenance, accentuating the depth of emotion in her eyes. This exquisite portrait captures the essence of youth and contemplation, inviting viewers to be transported into a world of beauty and introspection
Model description
license: other license_name: flux-1-dev-non-commercial-license license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md language: - en tags: - flux - diffusers - lora - replicate base_model: "black-forest-labs/FLUX.1-dev" pipeline_tag: text-to-image # widget: # - text: >- # prompt # output: # url: https://... instance_prompt: ANMCH
Animechar
<Gallery />
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use `ANMCH` to trigger the image generation.
Use it with the 🧨 diffusers library
```py from diffusers import AutoPipelineForText2Image import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda') pipeline.load_lora_weights('FounderFeed/AnimeChar', weight_name='lora.safetensors') image = pipeline('your prompt').images[0] ```
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
Trigger words
You should use ANMCH
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Nishitbaria/LoRa-Flux-Anime-Style
Base model
black-forest-labs/FLUX.1-dev