Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
Instructions to use silencer107/bimba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use silencer107/bimba with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/newdream-sdxl-20", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("silencer107/bimba") 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-2000/optimizer.bin from silencer107/bimba: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/silencer107/bimba/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://silencer107/bimba/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/silencer107/bimba/resolve/main/checkpoint-2000/optimizer.bin
47.4 MB
- Xet hash:
- 6dae3431aa9cce173551641c555db76974496127f57acaa88fa9a99f5480db0c
- Size of remote file:
- 47.4 MB
- SHA256:
- 18ed137a8d41b0a7849a15c0d43ef437ac7be4d2a25cf1e3177855406f87d439
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