Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use Aminrabi/diff1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aminrabi/diff1000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Aminrabi/diff1000", dtype=torch.bfloat16, device_map="cuda") 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-1000/optimizer.bin from Aminrabi/diff1000: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/Aminrabi/diff1000/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://Aminrabi/diff1000/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Aminrabi/diff1000/resolve/main/checkpoint-1000/optimizer.bin
6.88 GB
- Xet hash:
- 4d578e4225baf2f0bd22427a24d10e355993da4b935bc97116a2c6d2fb0ba0a6
- Size of remote file:
- 6.88 GB
- SHA256:
- 4bf13bed8b605872881176376fa4cfa194842f2611a6ed6e880aaf826108cb68
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