Instructions to use j4s0ch3/Qwen-image-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use j4s0ch3/Qwen-image-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("j4s0ch3/Qwen-image-diffusers", 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
#4
by j4s0ch3 - opened
RMBG-1.4/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:46ef7fe46f2ae284d8f1aaa24bfa5fca5ef25a34e2c7caa890a0029eb100e87f
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size 176381984
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RMBG-1.4/preprocessor_config.json
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{
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"do_normalize": true,
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"do_pad": false,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"feature_extractor_type": "ImageFeatureExtractor",
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"image_std": [
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1,
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1,
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1
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"width": 1024,
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"height": 1024
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}
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}
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