Instructions to use ionet-official/bc8-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ionet-official/bc8-alpha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ionet-official/bc8-alpha", 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
Commit History
-
Rename unet/diffusion_pytorch_model .bin to unet/diffusion_pytorch_model.bin
7267c68 -
Delete unet/diffusion_pytorch_model.bin
c3930ba -
Upload diffusion_pytorch_model .bin
fc24e5f -
Upload diffusion_pytorch_model.bin
3b5364f -
cleaned
1cabbe8 -
Upload pytorch_model.bin
57f33a3 -
Upload pytorch_model.bin (#1)
- Upload pytorch_model.bin (1bd1f2d0fdde752402daae4715914b17da1d0cef)d72f8cb -
Upload 2 files
e69ac5e -
Upload 2 files
6680495 -
Upload 4 files
b25c7c3 -
Upload config.json
0458f17 -
Upload scheduler_config.json
5d78243 -
Upload pytorch_model.bin
e19d362 -
Upload config.json
9c043a9 -
Upload preprocessor_config.json
33b818b -
Create vae/nothing.txt
4664dd8 -
Create unet/nothing.txt
07e54da -
Create tokenizer/nothing.txt
489d3ed -
Create text_encoder/nothing.txt
c6fb0e3 -
Create scheduler/nothing.text
20ddc86 -
Create safety_checker/nothing.txt
a9d2a80 -
Create feature_extractor/nothing.txt
0500439 -
Delete test
4cddcfa -
Create test/text.txt
95259d7 -
Upload 2 files
a7799c1 -
Upload model_index.json
4a4d22a
-
Upload config.json
77c4b4e -
Upload diffusion_pytorch_model.bin
d1cd6f5 -
Upload bc8-alpha.safetensors
be86519
-
initial commit
9a6dc86