Text-to-Image
Diffusers
Safetensors
PixArtSigmaPipeline
stable-diffusion
stable-diffusion-diffusers
simpletuner
full
Instructions to use terminusresearch/pixart-900m-1024-ft-v0.7-stage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use terminusresearch/pixart-900m-1024-ft-v0.7-stage2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("terminusresearch/pixart-900m-1024-ft-v0.7-stage2", dtype=torch.bfloat16, device_map="cuda") prompt = "unconditional (blank prompt)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 655 Bytes
1956c57 a7e610e 1956c57 a7e610e 1956c57 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"_class_name": "DPMSolverMultistepScheduler",
"_diffusers_version": "0.22.0.dev0",
"algorithm_type": "dpmsolver++",
"beta_end": 0.02,
"beta_schedule": "linear",
"beta_start": 0.0001,
"dynamic_thresholding_ratio": 0.995,
"euler_at_final": true,
"lambda_min_clipped": -Infinity,
"lower_order_final": true,
"num_train_timesteps": 1000,
"prediction_type": "epsilon",
"sample_max_value": 1.0,
"solver_order": 2,
"solver_type": "midpoint",
"steps_offset": 0,
"thresholding": false,
"timestep_spacing": "linspace",
"trained_betas": null,
"use_karras_sigmas": false,
"use_lu_lambdas": false,
"variance_type": null
}
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