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kwagh20ite
/
finetuned_stable_diffusion_batch2

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Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
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6

Instructions to use kwagh20ite/finetuned_stable_diffusion_batch2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use kwagh20ite/finetuned_stable_diffusion_batch2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("kwagh20ite/finetuned_stable_diffusion_batch2", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
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finetuned_stable_diffusion_batch2
1.59 MB
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  • 1 contributor
History: 4 commits
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kwagh20ite
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  • .gitattributes
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  • added_tokens.json
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  • learned_embeds.bin
    4.86 kB
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  • merges.txt
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  • model_index.json
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  • preprocessor_config.json
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  • special_tokens_map.json
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  • tokenizer_config.json
    737 Bytes
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  • vocab.json
    1.06 MB
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