Instructions to use lea97338/Louane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lea97338/Louane with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lea97338/Louane", 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 folder using huggingface_hub
Browse files- model_index.json +0 -1
- unet/diffusion_pytorch_model.bin +2 -2
- vae/diffusion_pytorch_model.bin +1 -1
model_index.json
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{
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"_class_name": "LouanePipeline",
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"custom_pipeline": "louane_pipeline",
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"text_encoder": [
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"transformers",
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"CLIPTextModel"
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{
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"_class_name": "LouanePipeline",
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"text_encoder": [
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"transformers",
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"CLIPTextModel"
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unet/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4dfeebec48b8c0467c1198d081aef41628c4f8ed2ffcbfea9735e956e0b3cc48
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vae/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6d4de4907ad34c32a8dbd4754a8d4a30da2ba1575ed1013f592c7dee202694e
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size 1720335
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