Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use amr3303/art-lora-7ep-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amr3303/art-lora-7ep-fp16 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_lora_weights("amr3303/art-lora-7ep-fp16") 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 image_0.png from amr3303/art-lora-7ep-fp16: direct link, hf CLI and curl.
- Browser
- Download file 567 kB
-
https://huggingface.co/amr3303/art-lora-7ep-fp16/resolve/main/image_0.png
- Command line
-
hf download hf://amr3303/art-lora-7ep-fp16/image_0.png
-
curl -L -o image_0.png https://huggingface.co/amr3303/art-lora-7ep-fp16/resolve/main/image_0.png
567 kB

- Xet hash:
- bcab344d4aa843bfdda31d88ac449120b20c90c47122a4e94e35478cb420dd3e
- Size of remote file:
- 567 kB
- SHA256:
- 297e3be0f94742503a0d3cd39c3e34eb18c72bef09415b01e6390e5cd0cb277c
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