Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use Retoe/stable8k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Retoe/stable8k with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Retoe/stable8k") 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-100/optimizer.bin from Retoe/stable8k: direct link, hf CLI and curl.
- Browser
- Download file 23.5 MB
-
https://huggingface.co/Retoe/stable8k/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://Retoe/stable8k/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Retoe/stable8k/resolve/main/checkpoint-100/optimizer.bin
23.5 MB
- Xet hash:
- 2d600236a66741fa410305a7aff62e27bfacfbdc77df8c1c91170b832ea27f93
- Size of remote file:
- 23.5 MB
- SHA256:
- e13e6f42782be7bc5dc3ce0cde403ab9be54c79ac5032e0da1aed0e1c2f31505
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