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 checkpoint-5000/scheduler.bin from ainjarts/output: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/ainjarts/output/resolve/main/checkpoint-5000/scheduler.bin
- Command line
-
hf download hf://ainjarts/output/checkpoint-5000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/ainjarts/output/resolve/main/checkpoint-5000/scheduler.bin
1 kB
- Xet hash:
- ef9215ab7f4781d69beca917f0594451a7c6d23c261b53b97aaa6ee2482361b4
- Size of remote file:
- 1 kB
- SHA256:
- 920333155b08e76154b89a85170c320833074db7b84649a9cfe79fd10b6bf2d9
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