Instructions to use CalamitousFelicitousness/Anima-sdnext-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CalamitousFelicitousness/Anima-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-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-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
Update model_index.json
Browse files- model_index.json +1 -4
model_index.json
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{
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"_class_name":
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"pipeline",
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"AnimaTextToImagePipeline"
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],
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"_diffusers_version": "0.37.0",
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"text_encoder": [
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"transformers",
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{
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"_class_name": "AnimaTextToImagePipeline",
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"_diffusers_version": "0.37.0",
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"text_encoder": [
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"transformers",
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