Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use DMshpark/sd15_helipad_upscaled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DMshpark/sd15_helipad_upscaled 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_textual_inversion("DMshpark/sd15_helipad_upscaled") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-100
- checkpoint-1000
- checkpoint-1100
- checkpoint-1200
- checkpoint-1300
- checkpoint-1400
- checkpoint-1500
- checkpoint-1600
- checkpoint-1700
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- checkpoint-200
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- checkpoint-2200
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- checkpoint-2400
- checkpoint-2500
- checkpoint-2600
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- checkpoint-2800
- checkpoint-2900
- checkpoint-300
- checkpoint-3000
- checkpoint-400
- checkpoint-500
- checkpoint-600
- checkpoint-700
- checkpoint-800
- checkpoint-900
- feature_extractor
- safety_checker
- scheduler
- text_encoder
- tokenizer
- unet
- vae
- 1.52 kB
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- 326 kB
- 364 kB
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- 383 kB
- 30.8 kB xet
- 30.8 kB xet
- 30.8 kB xet
- 30.8 kB xet
- 30.8 kB xet
- 30.8 kB xet
- 30.8 kB xet