Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
template:sd-lora
Instructions to use Zoahmed1/chagalllora_lora_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Zoahmed1/chagalllora_lora_output 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("Zoahmed1/chagalllora_lora_output") prompt = "an astronaut on the moon, in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from Zoahmed1/chagalllora_lora_output: direct link, hf CLI and curl.
- Browser
- Download file 1.33 MB
-
https://huggingface.co/Zoahmed1/chagalllora_lora_output/resolve/main/image_2.png
- Command line
-
hf download hf://Zoahmed1/chagalllora_lora_output/image_2.png
-
curl -L -o image_2.png https://huggingface.co/Zoahmed1/chagalllora_lora_output/resolve/main/image_2.png
1.33 MB

- Xet hash:
- 0239739edbf6bb1291aae2fe9968611269972d7bdebf6c071e4450d6269ecc32
- Size of remote file:
- 1.33 MB
- SHA256:
- c5b2796c69908650154c3a0ce68490b81919919ec359e7c5eefee1274ae650b1
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