Instructions to use Xrenya/TheGhostInTheShellSD3.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xrenya/TheGhostInTheShellSD3.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Xrenya/TheGhostInTheShellSD3.5", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- pytorch_lora_weights.safetensors +3 -0
- training_config.json +9 -0
pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae2c46cfcd3291d52cc98e157fe0d5c574b30b15181467b3d7f168d565aaa346
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size 4742848
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training_config.json
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{
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"base_model": "/root/.cache/huggingface/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80",
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"instance_prompt": "anime ohwx kusanagi",
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"resolution": 512,
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"rank": 4,
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"image_count": 70,
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"max_sequence_length": 77,
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"quantized_transformer": true
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}
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