Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use huyhuung/irit_SD1.5_LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use huyhuung/irit_SD1.5_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("SG161222/Realistic_Vision_V6.0_B1_noVAE", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("huyhuung/irit_SD1.5_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
Download checkpoint-500/scaler.pt from huyhuung/irit_SD1.5_LORA: direct link, hf CLI and curl.
- Browser
- Download file 988 Bytes
-
https://huggingface.co/huyhuung/irit_SD1.5_LORA/resolve/main/checkpoint-500/scaler.pt
- Command line
-
hf download hf://huyhuung/irit_SD1.5_LORA/checkpoint-500/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/huyhuung/irit_SD1.5_LORA/resolve/main/checkpoint-500/scaler.pt
988 Bytes
- Xet hash:
- 1dba8984e579e8056d7455d8f4aa715509edb6900218ed56dd2fd9c4ff55f00e
- Size of remote file:
- 988 Bytes
- SHA256:
- 18b984273ea2d45b7ffb1d047bb359d93111e41fcad70d16a1b453fd38f72636
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