Text-to-Image
Diffusers
TensorBoard
Safetensors
Sana
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
diffusers-training
lora
sana-diffusers
template:sd-lora
Instructions to use ainjarts/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ainjarts/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("darkstorm2150/Protogen_x3.4_Official_Release", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ainjarts/output") prompt = "a photo of ohwx woman" image = pipe(prompt).images[0] - Sana
How to use ainjarts/output with Sana:
# Load the model and infer image from text import torch from app.sana_pipeline import SanaPipeline from torchvision.utils import save_image sana = SanaPipeline("configs/sana_config/1024ms/Sana_1600M_img1024.yaml") sana.from_pretrained("hf://ainjarts/output") image = sana( prompt='a cyberpunk cat with a neon sign that says "Sana"', height=1024, width=1024, guidance_scale=5.0, pag_guidance_scale=2.0, num_inference_steps=18, ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_1.png from ainjarts/output: direct link, hf CLI and curl.
- Browser
- Download file 1.66 MB
-
https://huggingface.co/ainjarts/output/resolve/main/image_1.png
- Command line
-
hf download hf://ainjarts/output/image_1.png
-
curl -L -o image_1.png https://huggingface.co/ainjarts/output/resolve/main/image_1.png
1.66 MB

- Xet hash:
- dd2c2ebbb236d2b332f6c2b4ee9aee41e64e55b183ffa3c6cf0c715e4eb0ea67
- Size of remote file:
- 1.66 MB
- SHA256:
- c830f57b77b45df862dc0e0e209dcd5f4f34db4d391ee332b4d8c9e9c534741a
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