Instructions to use antikpatel128/OUTPUT_DIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use antikpatel128/OUTPUT_DIR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("antikpatel128/OUTPUT_DIR") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
48c37ca
1
Parent(s): 5ed4543
Upload 5 files
Browse files- optimizer.bin +3 -0
- pytorch_lora_weights.safetensors +3 -0
- random_states_0.pkl +3 -0
- scaler.pt +3 -0
- scheduler.bin +3 -0
optimizer.bin
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pytorch_lora_weights.safetensors
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random_states_0.pkl
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oid sha256:e6e1e4b0d065a3b1784cd7d4f85e10d3b016955d534cce9fb5cbf399ae384a19
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size 14599
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scaler.pt
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oid sha256:a3f196a54202bb4ba1220e8c59f42f9cda0702d68ea83147d814c2fb2f36b8f2
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size 557
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scheduler.bin
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oid sha256:73fd5f417d1b160455bac391e57c588efe13ffb8e7c4ae93ce40d27dbbb261b5
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size 563
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