Instructions to use HARRY07979/SoraAnima-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HARRY07979/SoraAnima-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HARRY07979/SoraAnima-v1", 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
Phew... My first "serious" model...
Welcome to HARRY07979/SoraAnima-v1!
Demo space: https://huggingface.co/spaces/HARRY07979/Sora-Anima-v1
masterpiece, best quality, ultra-detailed, 1girl, long silver hair, blue eyes, blush, gentle smile, head tilt, white shirt, red ribbon tie, navy pleated skirt, sitting on chair, classroom, large window, golden hour, sunset sunlight, distant cityscape, warm soft lighting, bokeh
Model Details:
- Developed by: HARRY07979(Me!)
- Model type: (Anime) Diffusion (or txt2img) model
- Base model: stable-diffusion-v1-5/stable-diffusion-v1-5 (Original base: runwayml/stable-diffusion-v1-5)
Quck Start:
from diffusers import DiffusionPipeline
import torch
# 1. Load the model onto the GPU (using float16 for standard SD 1.5 performance)
pipe = DiffusionPipeline.from_pretrained(
"HARRY07979/SoraAnima-v1",
torch_dtype=torch.float16,
safety_checker=None,
).to("cuda")
# 2. Set Prompt & Negative Prompt
prompt = "masterpiece, best quality, 1girl, solo, cute smile, silver hair, school uniform, sitting by the window, sunset light, outdoors"
negative_prompt = "lowres, bad anatomy, bad hands, text, error, missing finger, extra digits, fewer digits, cropped, worst quality, low quality, low score, bad score, average score, signature, watermark, username, blurry"
# 3. Generate image using the recommended sweet-spot settings
image = pipe(
prompt=prompt,
negative_prompt=negative_prompt,
num_inference_steps=30, # Optimal steps for DPM++ Karras
guidance_scale=6.5, # Sweet-spot CFG (avoids harsh contrast and edge noise)
width=512,
height=512,
).images[0]
# 4. Save and display the image
image.save("soraanima_result.png")
image.show() # Or use display(image) in Jupyter / Google Colab
Recommended Settings:
- Sampler: DPM++ 2M Karras (already)
- Sampling Steps: 25-30 (Recommended: 30)
- CFG Scale: 5.5-7.5 (Recommended: 6.5/7.5)
- Resolution: 512x512
- Clip Skip: 2
How-to Prompt
- Prompt:
Use this following order to generate the best images:
[Quality/Style] + [Character Count] + [Character & Outfit] + [Action/Expression] + [Background/Camera Angle] + [Lighting]
Example:
masterpiece, best quality, 1girl, solo, cute smile, silver hair, school uniform, sitting by the window, sunset light, outdoors
- Negative Prompt (Recommended):
lowres, bad anatomy, bad hands, text, error, missing finger, extra digits, fewer digits, cropped, worst quality, low quality, low score, bad score, average score, signature, watermark, username, blurry
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Model tree for HARRY07979/SoraAnima-v1
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5