Instructions to use vladmandic/MicroDecoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vladmandic/MicroDecoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vladmandic/MicroDecoder", 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
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README.md
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@@ -22,6 +22,9 @@ Example using **MicroDecoder** with `Flux.2-Klein-9B` and compared with official
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```shell
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sd_vae_micro_train.py --dim 256 --epochs 350 --resolution 512 --scale 8 --lr 0.0003 --folder ~/generative/Input/vae/ --vae AutoencoderKLQwenImage21 --repo Qwen/Qwen-Image-2.1 --output AutoencoderKLQwenImage21.safetensors
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sd_vae_micro_train.py --dim 256 --epochs 350 --resolution 512 --scale 4 --lr 0.0003 --folder ~/generative/Input/vae/ --vae AutoencoderKLFlux2 --repo black-forest-labs/FLUX.2-klein-9B --output AutoencoderKLFlux2.safetensors
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```
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```log
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```shell
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sd_vae_micro_train.py --dim 256 --epochs 350 --resolution 512 --scale 8 --lr 0.0003 --folder ~/generative/Input/vae/ --vae AutoencoderKLQwenImage21 --repo Qwen/Qwen-Image-2.1 --output AutoencoderKLQwenImage21.safetensors
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sd_vae_micro_train.py --dim 256 --epochs 350 --resolution 512 --scale 4 --lr 0.0003 --folder ~/generative/Input/vae/ --vae AutoencoderKLFlux2 --repo black-forest-labs/FLUX.2-klein-9B --output AutoencoderKLFlux2.safetensors
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sd_vae_micro_train.py --dim 256 --epochs 350 --resolution 512 --scale 4 --lr 0.0003 --folder ~/generative/Input/vae/ --vae AutoencoderKL --repo stabilityai/stable-diffusion-xl-base-1.0 --output AutoencoderKL.safetensors
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sd_vae_micro_train.py --dim 256 --epochs 350 --resolution 512 --scale 4 --lr 0.0003 --folder ~/generative/Input/vae/ --vae AutoencoderKLWan --repo Wan-AI/Wan2.2-I2V-A14B-Diffusers --output AutoencoderKLWan.safetensors
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sd_vae_micro_train.py --dim 256 --epochs 350 --resolution 512 --scale 4 --lr 0.0003 --folder ~/generative/Input/vae/ --vae AutoencoderKLQwenImage --repo krea/Krea-2-Turbo --output AutoencoderKLQwenImage.safetensors
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```
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```log
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