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I-AM-CCS
/
IAMCCS-anamorph1x-LoRA

Text-to-Image
Diffusers
English
lora
anamorphic-optics
cinematic-language
film-grammar
image-generation
diffusion
Model card Files Files and versions
xet
Community

Instructions to use I-AM-CCS/IAMCCS-anamorph1x-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use I-AM-CCS/IAMCCS-anamorph1x-LoRA with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("z-image", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("I-AM-CCS/IAMCCS-anamorph1x-LoRA")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
IAMCCS-anamorph1x-LoRA / samples
1.61 MB
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  • 1 contributor
History: 2 commits
I-AM-CCS's picture
I-AM-CCS
Upload anamorph1x by ccs_2.png
8935e6c verified 5 months ago
  • anamorph1x by ccs_2.png
    1.39 MB
    xet
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  • sample_1.jpg
    40.8 kB
    Upload 5 files 5 months ago
  • sample_2.jpg
    54.2 kB
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  • sample_3.jpg
    36.1 kB
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  • sample_4.jpg
    47.1 kB
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  • sample_5.jpg
    46.7 kB
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