Instructions to use CompVis/ldm-text2im-large-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CompVis/ldm-text2im-large-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/ldm-text2im-large-256", 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 History
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Upload app.py
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fix broken arxiv url (#8)
- fix broken arxiv url (9cfc8a06cc2cefd7b32e6080093b6ace79f73c7b) Co-authored-by: Kevin Murphy <murphyk@users.noreply.huggingface.co>30de525
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Update pipeline output (#5)
- Update pipeline output (b98f201ac244617f0e4bf4cfe890dcfc12311787) Co-authored-by: Pedro Cuenca <pcuenq@users.noreply.huggingface.co>a5830b4
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upload new weights
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add new config
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Update README.md
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Add images
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Update README.md with the new API (#2)
- Update README.md with the new API (59496942a4509399e19931b26892e1d50ed016ea) Co-authored-by: Multimodal AI art <multimodalart@users.noreply.huggingface.co>a79ddfe -
Update README.md for release (#1)
- Update README.md (47bfa777fa457efc42d53dc4ba8d8e2baad68948) Co-authored-by: Nathan Lambert <natolambert@users.noreply.huggingface.co>76196c8
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convert weights
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finish config
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update config
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Create README.md
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upload
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initial commit
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