Instructions to use nitrosocke/archer-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/archer-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/archer-diffusion", 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
- Draw Things
- DiffusionBee
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README.md
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**Archer Diffusion**
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This is the fine-tuned Stable Diffusion model trained on screenshots from the show Archer.
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Use the tokens **_archer style_** in your prompts for the effect.
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If you enjoy this model, please check out my other models on [Huggingface](https://huggingface.co/nitrosocke)
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**Celebrities rendered with the model:**
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**Animals rendered with the model:**
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---
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**Archer Diffusion**
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This is the fine-tuned Stable Diffusion model trained on screenshots from the TV-show Archer.
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Use the tokens **_archer style_** in your prompts for the effect.
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If you enjoy this model, please check out my other models on [Huggingface](https://huggingface.co/nitrosocke)
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**Celebrities rendered with the model:**
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**Landscapes rendered with the model:**
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**Animals rendered with the model:**
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