Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Jonjew
/
NijiAnime

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

Instructions to use Jonjew/NijiAnime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Jonjew/NijiAnime 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("Jonjew/NijiAnime")
    
    prompt = "Create photographs that blend surreal artificiality with the vibrant, raw humanity of urban life, where calculated structure meets spontaneous chaos. Capture controlled studio portraits juxtaposed against the layered textures of bustling streets, allowing stiff poses to merge with candid gestures. Use harsh, direct lighting to cast sharp contrasts on natural gestures, while incorporating soft, diffused ambient city light to add a tactile, film-like quality with subtle grain. Focus on close-up and full-body shots of isolated figures, such as performers frozen mid-action, their forms framed against dynamic backdrops of stark, minimalist walls interwoven with fractal-like reflections in puddles and glass. Play with depth of field to isolate the subject while allowing controlled, repeating patterns to spiral outward in urban textures. Clashing color palettes collide with harmonious hues, blending neon city lights with muted, studio tones. The result is a fragmented narrative where chaos and order coexist, immersing the viewer in a surreal yet emotionally resonant exploration of fractal design within both natural and controlled environments. Niji style."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
NijiAnime
219 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Jonjew's picture
Jonjew
Add 6 files
403130f verified over 1 year ago
  • images
    Add 6 files over 1 year ago
  • .gitattributes
    2.31 kB
    initial commit over 1 year ago
  • Niji V2B.safetensors
    211 MB
    xet
    Add 6 files over 1 year ago
  • README.md
    5.25 kB
    initial commit over 1 year ago