Instructions to use deepgoyal19/mysd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deepgoyal19/mysd2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("deepgoyal19/mysd1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("deepgoyal19/mysd2") 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 ·
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Parent(s): a772205
Delete pytorch_lora_weights.bin
Browse files- pytorch_lora_weights.bin +0 -3
pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b816eb8b4d6e7bb372c3735ee9738f4ce4d2ac9674d2eee78d587b0aeda21472
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size 3287771
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