Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use AlexeyGHT/Stable_Diffusion_v1.4_web_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexeyGHT/Stable_Diffusion_v1.4_web_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlexeyGHT/Stable_Diffusion_v1.4_web_lora") 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
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Download README.md from AlexeyGHT/Stable_Diffusion_v1.4_web_lora: direct link, hf CLI and curl.
- Browser
- Download file 432 Bytes
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https://huggingface.co/AlexeyGHT/Stable_Diffusion_v1.4_web_lora/resolve/main/README.md
- Command line
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hf download hf://AlexeyGHT/Stable_Diffusion_v1.4_web_lora/README.md
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curl -L -o README.md https://huggingface.co/AlexeyGHT/Stable_Diffusion_v1.4_web_lora/resolve/main/README.md
432 Bytes
| base_model: CompVis/stable-diffusion-v1-4 | |
| library_name: diffusers | |
| license: creativeml-openrail-m | |
| inference: true | |
| tags: | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - text-to-image | |
| - diffusers | |
| - diffusers-training | |
| - lora | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - text-to-image | |
| - diffusers | |
| - diffusers-training | |
| - lora | |
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