Instructions to use CalamitousFelicitousness/Anima-Preview-2-sdnext-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CalamitousFelicitousness/Anima-Preview-2-sdnext-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("CalamitousFelicitousness/Anima-Preview-2-sdnext-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Diffusion Single File
How to use CalamitousFelicitousness/Anima-Preview-2-sdnext-diffusers with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload folder using huggingface_hub
Browse files
__pycache__/pipeline.cpython-313.pyc
ADDED
|
Binary file (16.5 kB). View file
|
|
|
llm_adapter/__pycache__/modeling_llm_adapter.cpython-313.pyc
ADDED
|
Binary file (11.8 kB). View file
|
|
|
transformer/diffusion_pytorch_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9817efa70885748a79fa6323714d60449149690428e99ad2e8a50be4798eb54b
|
| 3 |
+
size 3912877104
|