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stable-diffusion
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Instructions to use second-state/3dAnimationDiffusion_v10-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use second-state/3dAnimationDiffusion_v10-GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("second-state/3dAnimationDiffusion_v10-GGUF", 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
3Danimation-GGUF
Original Model
Run with sd-api-server
Go to the sd-api-server repository for more information.
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| 3dAnimationDiffusion_v10-Q4_0.gguf | Q4_0 | 4 | 1.57 GB | |
| 3dAnimationDiffusion_v10-Q4_1.gguf | Q4_1 | 4 | 1.59 GB | |
| 3dAnimationDiffusion_v10-Q5_0.gguf | Q5_0 | 5 | 1.62 GB | |
| 3dAnimationDiffusion_v10-Q5_1.gguf | Q5_1 | 5 | 1.64 GB | |
| 3dAnimationDiffusion_v10-Q8_0.gguf | Q8_0 | 8 | 1.76 GB | |
| 3dAnimationDiffusion_v10-f16.gguf | f16 | 16 | 2.13 GB | |
| vae-Q8_0.gguf | Q8_0 | 8 | 165 MB | |
| vae-f16.gguf | f16 | 16 | 167 MB |
Quantized with stable-diffusion.cpp master-697d000.
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Model tree for second-state/3dAnimationDiffusion_v10-GGUF
Base model
Yntec/3Danimation