Instructions to use R1000/Analog.RedmondV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use R1000/Analog.RedmondV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("R1000/Analog.RedmondV2") prompt = "AnalogRedmAF, Analog" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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#base_model: R1000/Realistic_Vision_V6.0_B1_noVAE
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#base_model: stabilityai/stable-diffusion-xl-base-1.0
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#base_model: SG161222/RealVisXL_V5.0
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inference: true
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instance_prompt: AnalogRedmAF, Analog
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widget:
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- text: AnalogRedmAF, Analog
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#base_model: R1000/Realistic_Vision_V6.0_B1_noVAE
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#base_model: stabilityai/stable-diffusion-xl-base-1.0
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#base_model: SG161222/RealVisXL_V5.0
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instance_prompt: AnalogRedmAF, Analog
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widget:
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- text: AnalogRedmAF, Analog
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