Instructions to use personal1802/4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("personal1802/4") prompt = "a" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files- 000B-001.safetensors +3 -0
- images/2.png +3 -0
000B-001.safetensors
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oid sha256:1055c4b3fc6b1502bffb71856ecf1ad86038ae1183f4b5d10d6cc7a19d2e6329
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size 3359391126
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images/2.png
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Git LFS Details
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