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
-
https://huggingface.co/AlexeyGHT/Stable_Diffusion_v1.4_web_lora/resolve/main/README.md
- Command line
-
hf download hf://AlexeyGHT/Stable_Diffusion_v1.4_web_lora/README.md
-
curl -L -o README.md https://huggingface.co/AlexeyGHT/Stable_Diffusion_v1.4_web_lora/resolve/main/README.md
432 Bytes
metadata
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



