Instructions to use Smoden/newest_Grimm_diff_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Smoden/newest_Grimm_diff_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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Smoden/newest_Grimm_diff_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-3000/optimizer.bin from Smoden/newest_Grimm_diff_lora: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/Smoden/newest_Grimm_diff_lora/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://Smoden/newest_Grimm_diff_lora/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Smoden/newest_Grimm_diff_lora/resolve/main/checkpoint-3000/optimizer.bin
6.59 MB
- Xet hash:
- 13d2eb3228e891a2f841389a95ff0a29a7479d83f4740d95f1a973ee556d0be6
- Size of remote file:
- 6.59 MB
- SHA256:
- a4213ce7e88f61f7461f5912bb431c8ac7e3d23b36048e224d463ff6e177422f
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