Instructions to use mingyi456/Anima-Base-v1.0-DF11-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mingyi456/Anima-Base-v1.0-DF11-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mingyi456/Anima-Base-v1.0-DF11-Diffusers", 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 config.json from mingyi456/Anima-Base-v1.0-DF11-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 697 Bytes
-
https://huggingface.co/mingyi456/Anima-Base-v1.0-DF11-Diffusers/resolve/main/config.json
- Command line
-
hf download hf://mingyi456/Anima-Base-v1.0-DF11-Diffusers/config.json
-
curl -L -o config.json https://huggingface.co/mingyi456/Anima-Base-v1.0-DF11-Diffusers/resolve/main/config.json
697 Bytes
| { | |
| "dfloat11_config": { | |
| "version": "0.5.0", | |
| "threads_per_block": [ | |
| 512 | |
| ], | |
| "bytes_per_thread": 8, | |
| "pattern_dict": { | |
| "transformer_blocks\\.\\d+": [ | |
| "norm1.linear_1", | |
| "norm1.linear_2", | |
| "attn1.to_q", | |
| "attn1.to_k", | |
| "attn1.to_v", | |
| "attn1.to_out.0", | |
| "norm2.linear_1", | |
| "norm2.linear_2", | |
| "attn2.to_q", | |
| "attn2.to_k", | |
| "attn2.to_v", | |
| "attn2.to_out.0", | |
| "norm3.linear_1", | |
| "norm3.linear_2", | |
| "ff.net.0.proj", | |
| "ff.net.2" | |
| ], | |
| "time_embed\\.t_embedder": [ | |
| "linear_1", | |
| "linear_2" | |
| ] | |
| } | |
| } | |
| } |