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- # AnimeXL - Fine-Tuned Model on Anime Style Images
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- This LoRA (Low-Rank Adaptation) is fine-tuned using **200+ anime-style images** and trained over **2500 steps** to produce high-quality anime-style image generations. Use the trigger word **`animexl`** in your prompts for optimal results.
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- ## Features
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- - **Specialized for Anime Style:** Generates images with vibrant and detailed anime-style aesthetics.
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- - **Fine-tuned with 200+ Images:** Offers exceptional performance for anime-themed prompts.
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- - **Efficient and Flexible:** Works seamlessly with the 🧨 `diffusers` library.
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  ---
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- ## How to Use
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- This LoRA is designed to be used with the **🧨 `diffusers` library** in Python. Below is an example to help you get started:
 
 
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- ### Code Example
 
 
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  ```python
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  from diffusers import AutoPipelineForText2Image
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  import torch
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- # Load the base model
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  pipeline = AutoPipelineForText2Image.from_pretrained(
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- 'black-forest-labs/FLUX.1-dev',
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  torch_dtype=torch.float16
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- ).to('cuda')
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  # Load the LoRA weights
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- pipeline.load_lora_weights('Nishit2411/AnimeXL', weight_name='lora.safetensors')
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  # Generate an image
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- prompt = "animexl a warrior in a futuristic city"
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  image = pipeline(prompt).images[0]
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  # Save or display the image
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  image.save("output.png")
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- ```
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-
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- ---
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-
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- ## Trigger Words
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- To achieve the best results, include **`animexl`** in your prompts. For example:
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- - `"animexl a magical girl in a serene forest"`
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- - `"animexl a futuristic city with anime characters"`
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-
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- ---
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-
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- ## Advanced Usage
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- For additional techniques like:
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- - **Weighting prompts**
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- - **Merging and fusing multiple LoRAs**
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-
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- Refer to the official [diffusers documentation on loading LoRAs](https://huggingface.co/docs/diffusers/using-diffusers/lora).
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-
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- ---
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-
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- ## About AnimeXL
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- AnimeXL is a finely-tuned model created to enhance creativity and cater to anime-style generation enthusiasts. Developed using **Replicate's LoRA Trainer** at:
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- [LoRA Trainer](https://replicate.com/ostris/flux-dev-lora-trainer/train).
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- Let your imagination flow with AnimeXL! 🎨
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: other
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+ license_name: flux-1-dev-non-commercial-license
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+ license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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+ language:
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+ - en
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+ tags:
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+ - flux
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+ - diffusers
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+ - lora
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+ - replicate
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+ - anime
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+ - text-to-image
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+ base_model: black-forest-labs/FLUX.1-dev
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+ pipeline_tag: text-to-image
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+ instance_prompt: animexl
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+ widget:
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+ - example_title: Futuristic Samurai
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+ inputs:
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+ prompt: animexl a cyberpunk samurai standing on a neon-lit rooftop, wearing black armor with glowing blue patterns, holding a katana with an electric blade, a bustling futuristic city in the background with flying cars and holographic billboards, cinematic lighting
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+ outputs:
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+ - image: https://example.com/samurai.png
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+ - example_title: Magical Forest Scene
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+ inputs:
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+ prompt: animexl an ethereal elf princess with glowing silver hair, wearing a flowing emerald gown adorned with golden patterns, sitting by a glowing blue lake in an enchanted forest, surrounded by bioluminescent flowers, glowing fireflies, and ancient stone ruins covered in moss
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+ outputs:
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+ - image: https://example.com/forest.png
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+ ---
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+ # AnimeXL - Fine-Tuned LoRA for Anime Image Generation
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+ AnimeXL is a LoRA fine-tuned using 200+ anime-style images over 2500 training steps. It specializes in creating vibrant, highly detailed anime-style visuals. The model leverages the **FLUX.1-dev** base model and is compatible with the 🧨 `diffusers` library for seamless integration.
 
 
 
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  ---
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+ ## Features
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+ - **Trigger Word:** Use `animexl` in prompts to activate the model.
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+ - **High Compatibility:** Fully integrated with `diffusers` and works with FLUX.1-dev.
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+ - **Specialized Output:** Designed to generate anime-style artwork, perfect for creative projects.
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+ ## How to Use
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+
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+ ### Using 🧨 Diffusers
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  ```python
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  from diffusers import AutoPipelineForText2Image
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  import torch
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+ # Load the base pipeline
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  pipeline = AutoPipelineForText2Image.from_pretrained(
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+ "black-forest-labs/FLUX.1-dev",
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  torch_dtype=torch.float16
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+ ).to("cuda")
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  # Load the LoRA weights
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+ pipeline.load_lora_weights("Nishit2411/AnimeXL", weight_name="lora.safetensors")
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  # Generate an image
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+ prompt = "animexl a futuristic city with anime characters"
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  image = pipeline(prompt).images[0]
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  # Save or display the image
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  image.save("output.png")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Trigger Words
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+ Use animexl in prompts to achieve optimal results. Example prompts:
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+
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+ animexl a magical girl in a serene forest
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+ animexl a samurai standing under a cherry blossom tree at sunset
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+ About Training
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+ AnimeXL was trained on Replicate's LoRA Trainer using the following configuration:
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+
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+ Base Model: FLUX.1-dev
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+ Training Steps: 2500
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+ Images: 200+ anime-style images
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+ Resolution: 512x512, 768x768, and 1024x1024
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+ Batch Size: 1
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+ Optimizer: AdamW8bit with a learning rate of 0.0004
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+ Scheduler: Flowmatch
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+ Sampling: Flowmatch with 28 steps, guidance scale of 3.5
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+ For more details, refer to Replicate's LoRA Trainer Documentation.