Instructions to use 22h/vintedois-diffusion-v0-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 22h/vintedois-diffusion-v0-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("22h/vintedois-diffusion-v0-2", 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
Commit ·
a300737
1
Parent(s): ed197b1
Upload text_encoder with huggingface_hub
Browse files
text_encoder/config.json
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{
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"_name_or_path": "/root/.cache/huggingface/diffusers/models--
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"architectures": [
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"CLIPTextModel"
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],
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{
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"_name_or_path": "/root/.cache/huggingface/diffusers/models--22h--vintedois-diffusion-v0-2/snapshots/3e03cf588263bac5c9aa63aa08d4d1093e9e8c8e/text_encoder",
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"architectures": [
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"CLIPTextModel"
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],
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text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:24dd226aa6b921b513ddd00aa5f52b8124e49c78a467223cca4142ee7520bfb3
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size 246144866
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