Instructions to use warp-ai/wuerstchen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use warp-ai/wuerstchen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("warp-ai/wuerstchen", 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- model_index.json +2 -2
- vqgan/config.json +1 -1
model_index.json
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"CLIPTokenizerFast"
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],
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"vqgan": [
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"
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"
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]
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}
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"CLIPTokenizerFast"
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],
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"vqgan": [
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"wuerstchen",
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"PaellaVQModel"
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]
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}
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vqgan/config.json
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{
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"_class_name": "
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"_diffusers_version": "0.21.0.dev0",
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"bottleneck_blocks": 12,
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"embed_dim": 384,
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{
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"_class_name": "PaellaVQModel",
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"_diffusers_version": "0.21.0.dev0",
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"bottleneck_blocks": 12,
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"embed_dim": 384,
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