Text-to-Image
Diffusers
PyTorch
Safetensors
English
StableDiffusionPipeline
diffusion
ddpm
custom-architecture
Instructions to use lea97338/Lou with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lea97338/Lou 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/Lou", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload folder using huggingface_hub
Browse files- config.json +1 -1
- model.index.json +1 -1
- model.safetensors +2 -2
config.json
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],
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"channels": 3,
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"dtype": "float32",
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"model_type": "
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"text_embed_dim": 256,
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"transformers_version": "5.16.1",
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"vocab_size": 30522
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],
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"channels": 3,
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"dtype": "float32",
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"model_type": "lou_unet_anti_checkerboard",
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"text_embed_dim": 256,
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"transformers_version": "5.16.1",
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"vocab_size": 30522
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model.index.json
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{
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"architecture": "
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"framework": "pytorch",
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"manifest": [
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"pytorch_model.bin",
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{
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"architecture": "Lou_UNet_AntiCheckerboard",
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"framework": "pytorch",
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"manifest": [
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"pytorch_model.bin",
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:888a6b0b7fb460dd8ca4c76ed6b082f84759ba6481abf2a715b8ad5aa7a3e2d9
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size 86918564
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