Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use ArneNix/imagenet-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ArneNix/imagenet-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("stabilityai/stable-diffusion-2-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ArneNix/imagenet-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-700/optimizer.bin from ArneNix/imagenet-lora: direct link, hf CLI and curl.
- Browser
- Download file 6.85 MB
-
https://huggingface.co/ArneNix/imagenet-lora/resolve/main/checkpoint-700/optimizer.bin
- Command line
-
hf download hf://ArneNix/imagenet-lora/checkpoint-700/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ArneNix/imagenet-lora/resolve/main/checkpoint-700/optimizer.bin
6.85 MB
- Xet hash:
- 4e2227e59380783e6900b3a7472847f67fff973306ea31aba29c4634f47e844e
- Size of remote file:
- 6.85 MB
- SHA256:
- 524388a0fe0b11aa1c018e69c86b1a9a41063909b6b6335ff7ba281704c6d173
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