Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
animation
cartoon
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/AnythingV7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/AnythingV7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/AnythingV7", 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
Update scheduler/scheduler_config.json
Browse files
scheduler/scheduler_config.json
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@@ -1,7 +1,7 @@
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{
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"_class_name": "DPMSolverMultistepScheduler",
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"_diffusers_version": "0.18.0.dev0",
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"algorithm_type": "
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"use_karras_sigmas": true,
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"variance_type": null
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}
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{
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"_class_name": "DPMSolverMultistepScheduler",
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"_diffusers_version": "0.18.0.dev0",
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"algorithm_type": "dpmsolver++",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"use_karras_sigmas": true,
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"variance_type": null
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}
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