Instructions to use Angry-Wizard/map-training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Angry-Wizard/map-training with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Angry-Wizard/map-training", 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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Add Diffusers weights
Add Diffusers weights converted from checkpoint `Map_Training.ckpt` in revision 3a47ea6d06cdbb8514f1fd9e5639f766d666310fa2d1cee
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Upload folder using huggingface_hub
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Upload model_index.json with huggingface_hub
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Upload folder using huggingface_hub
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Upload folder using huggingface_hub
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Upload folder using huggingface_hub
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Upload folder using huggingface_hub
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Upload folder using huggingface_hub
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Upload folder using huggingface_hub
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Upload the concept Map_Training embeds and token
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initial commit
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